S.N. Jonkman
Please Note
39 records found
1
Where a Dike Surrounds the Land
Developing a flood protection strategy for the port of Galveston, TX
This design study develops three alternative surge protection strategies that seek alleviate the concerns raised for the USACE Ring Barrier, along with protecting the port of Galveston, which is located between Galveston Island and Pelican Island, from storm surge.
Strategy 1 keeps to Galveston Island, placing the road that roughly separates the port terminals from the commercial/residential areas, Harborside Drive, on a levee to avoid the need for traffic gates. Local resilience measures for port terminals, particularly cruise facilities, are proposed to minimize damage and recovery time.
Strategy 2 avoids the developed area on Galveston Island by including the port area inside the protection, reducing required pumping capacity. This would entail two large-scale storm surge barriers at both entrances to the port basin to ensure port accessibility, and a levee around the current development on Pelican Island.
Strategy 3 expands on strategy 2 by including a larger part of Pelican Island, undeveloped as of yet, in preparation for future developments.
The expected reduction in flood risk over structure lifetime and performance on criteria other than cost for strategies 2 and 3 is deemed insufficient when compared to strategy 1. The preferred strategy of the 3 developed is therefore strategy 1, keeping the main protection to Galveston Island, and protecting the port with local measures. ...
This design study develops three alternative surge protection strategies that seek alleviate the concerns raised for the USACE Ring Barrier, along with protecting the port of Galveston, which is located between Galveston Island and Pelican Island, from storm surge.
Strategy 1 keeps to Galveston Island, placing the road that roughly separates the port terminals from the commercial/residential areas, Harborside Drive, on a levee to avoid the need for traffic gates. Local resilience measures for port terminals, particularly cruise facilities, are proposed to minimize damage and recovery time.
Strategy 2 avoids the developed area on Galveston Island by including the port area inside the protection, reducing required pumping capacity. This would entail two large-scale storm surge barriers at both entrances to the port basin to ensure port accessibility, and a levee around the current development on Pelican Island.
Strategy 3 expands on strategy 2 by including a larger part of Pelican Island, undeveloped as of yet, in preparation for future developments.
The expected reduction in flood risk over structure lifetime and performance on criteria other than cost for strategies 2 and 3 is deemed insufficient when compared to strategy 1. The preferred strategy of the 3 developed is therefore strategy 1, keeping the main protection to Galveston Island, and protecting the port with local measures.
This research investigates a method for determining wave-induced forces on sector gates using three-dimensional computational fluid dynamics (CFD) modelling with OpenFOAM and the Waves2Foam package. Accurate prediction of wave pressure distributions is essential for optimising sector gate design, and CFD offers a high resolution, which is an alternative to traditional physical and empirical approaches. The goal of this study is to evaluate the capability of 3D CFD modelling to analyse the spatial and temporal distribution of wave loads on complex geometries such as sector gates.
The St. Petersburg storm surge barrier was used as a case study. Two 2DV OpenFOAM models, based on Goda's experiments and the St. Petersburg case study, were developed. A 3D model for the St. Petersburg case study was then developed based on these results. The 2DV results showed good agreement with physical test data and confirmed that empirical methods tend to overestimate forces. It was further observed that maximum pressure occurs prior to the peak water elevation at the structure.
The 3D CFD model was simulated under a regular, non-oblique incident wave condition. Due to computational constraints, the model domain was limited to a single gate with a resolution of 12 cells per wave height. The maximum horizontal force obtained from the CFD model was 16.7 MN, falling within the range of 12.2 MN to 17 MN measured in physical model tests. However, minimum force predictions were approximately 50% lower than expected. The model identified critical loading areas, notably, at the junction between gates and at approximately two-thirds of the gate curvature from the junction point. Additionally, a node-antinode pattern in wave pressure along the barrier wall was observed, with extracted phase differences relative to the antinode at the junction between gates, providing further insight.
While significant computational resources are required, as the 3D CFD model took 2.5 weeks to simulate 250 seconds, the results demonstrate this method enhances understanding of wave-structure interactions under extreme conditions. It can be used to complement physical model testing in the detailed refinement phase of the design process. ...
This research investigates a method for determining wave-induced forces on sector gates using three-dimensional computational fluid dynamics (CFD) modelling with OpenFOAM and the Waves2Foam package. Accurate prediction of wave pressure distributions is essential for optimising sector gate design, and CFD offers a high resolution, which is an alternative to traditional physical and empirical approaches. The goal of this study is to evaluate the capability of 3D CFD modelling to analyse the spatial and temporal distribution of wave loads on complex geometries such as sector gates.
The St. Petersburg storm surge barrier was used as a case study. Two 2DV OpenFOAM models, based on Goda's experiments and the St. Petersburg case study, were developed. A 3D model for the St. Petersburg case study was then developed based on these results. The 2DV results showed good agreement with physical test data and confirmed that empirical methods tend to overestimate forces. It was further observed that maximum pressure occurs prior to the peak water elevation at the structure.
The 3D CFD model was simulated under a regular, non-oblique incident wave condition. Due to computational constraints, the model domain was limited to a single gate with a resolution of 12 cells per wave height. The maximum horizontal force obtained from the CFD model was 16.7 MN, falling within the range of 12.2 MN to 17 MN measured in physical model tests. However, minimum force predictions were approximately 50% lower than expected. The model identified critical loading areas, notably, at the junction between gates and at approximately two-thirds of the gate curvature from the junction point. Additionally, a node-antinode pattern in wave pressure along the barrier wall was observed, with extracted phase differences relative to the antinode at the junction between gates, providing further insight.
While significant computational resources are required, as the 3D CFD model took 2.5 weeks to simulate 250 seconds, the results demonstrate this method enhances understanding of wave-structure interactions under extreme conditions. It can be used to complement physical model testing in the detailed refinement phase of the design process.
Focusing on the proposed Bolivar Roads Gate System, the research integrates operational and maintenance needs into early design and planning. It applies the Flexibility in Engineering Design method to identify and evaluate how external drivers, like relative sea level rise and economic development (particularly increased vessel drafts), affect long-term barrier performance. The study maps dependencies between critical system drivers and barrier components, identifying the sill as the most risk-sensitive and costly to modify. As a result, it proposes an innovative, adaptable sill design: a two-stage structure that can be upgraded in the future to accommodate deeper vessel drafts, allowing the barrier to “change” rather than fail under unanticipated pressures.
The study also identifies the importance of designing for maintainability. Barrier components have varying lifespans, electrical (8–15 years), movable (50–100 years), and fixed (100 years), which demand different maintenance intervals. To address this, the research advocates for a maintainability-first design strategy, such as placing short-lived components in easily accessible locations. Maintenance should follow a state-based policy, combining preventive, corrective, and failure-based actions depending on the component’s role and risk level.
From a governance perspective, the study highlights the need for public clients to act as system integrators, balancing in-house oversight with selective outsourcing. The delivery of such complex infrastructure requires differentiated strategies across phases: detailed design should remain tightly managed in-house, while construction and certain maintenance tasks may be outsourced. Operational control, due to high reliability demands, should stay within the public domain. The governance of adaptable components, like the sill, must also remain with public authorities to ensure activation aligns with policy shifts.
Ultimately, the research proposes a bimodal strategy for barrier management. Mode 1 focuses on maintainability and predictable reliability through conventional design and maintenance practices. Mode 2 embraces uncertainty, embedding flexibility into components to adapt over time. This approach enables barriers to function as dynamic, living systems, built to endure, but also to evolve. By embedding adaptability in the most permanent elements and pairing it with tailored maintenance strategies, public agencies can maintain flood protection, performance, and accountability in the face of long-term uncertainty. ...
Focusing on the proposed Bolivar Roads Gate System, the research integrates operational and maintenance needs into early design and planning. It applies the Flexibility in Engineering Design method to identify and evaluate how external drivers, like relative sea level rise and economic development (particularly increased vessel drafts), affect long-term barrier performance. The study maps dependencies between critical system drivers and barrier components, identifying the sill as the most risk-sensitive and costly to modify. As a result, it proposes an innovative, adaptable sill design: a two-stage structure that can be upgraded in the future to accommodate deeper vessel drafts, allowing the barrier to “change” rather than fail under unanticipated pressures.
The study also identifies the importance of designing for maintainability. Barrier components have varying lifespans, electrical (8–15 years), movable (50–100 years), and fixed (100 years), which demand different maintenance intervals. To address this, the research advocates for a maintainability-first design strategy, such as placing short-lived components in easily accessible locations. Maintenance should follow a state-based policy, combining preventive, corrective, and failure-based actions depending on the component’s role and risk level.
From a governance perspective, the study highlights the need for public clients to act as system integrators, balancing in-house oversight with selective outsourcing. The delivery of such complex infrastructure requires differentiated strategies across phases: detailed design should remain tightly managed in-house, while construction and certain maintenance tasks may be outsourced. Operational control, due to high reliability demands, should stay within the public domain. The governance of adaptable components, like the sill, must also remain with public authorities to ensure activation aligns with policy shifts.
Ultimately, the research proposes a bimodal strategy for barrier management. Mode 1 focuses on maintainability and predictable reliability through conventional design and maintenance practices. Mode 2 embraces uncertainty, embedding flexibility into components to adapt over time. This approach enables barriers to function as dynamic, living systems, built to endure, but also to evolve. By embedding adaptability in the most permanent elements and pairing it with tailored maintenance strategies, public agencies can maintain flood protection, performance, and accountability in the face of long-term uncertainty.
A Surrogate Modeling Framework for Compound Flood Risk and Optimization Analysis
Investigating the application of LSTM models for assessing compound flood mitigation designs at Clear Lake, Texas
The methodology involved three main stages. First, a 1D HEC-RAS model of the Clear Lake system was adapted to serve as the physics-based "ground truth" generator. Second, this model was used to generate a training dataset of 2,400 simulations. This was achieved by systematically sampling key infrastructure design parameters (gate width $W_g$, number of pumps $n_p$, and activation levels $h_{on}$) alongside a wide range of synthetic compound flood forcings (inflow hydrographs and downstream storm surge boundaries).
Third, three distinct Long Short-Term Memory (LSTM) network architectures (Models A, B, and C) were developed to compare different data encoding strategies. Model A, a direct sequence-to-sequence (seq2seq) model, was provided with all dynamic inputs, including the known pump discharge time series ($Q_{pump}$). Model B tested the model's ability to infer dynamics by replacing the $Q_{pump}$ time series with static design parameters ($n_p$, $h_{on}$). Model C used an autoregressive structure, feeding its own past water level predictions back as inputs to dynamically infer the pump response.
The results demonstrate that the fully-informed LSTM (Model A) can successfully learn and reproduce the governing hydrodynamic processes with very high accuracy. However, models that attempted to infer dynamic behavior from static design parameters (Models B and C) show reduced performance. These models particularly struggled to capture the sharp, transient effects of pump (de)activation, leading to overly smoothed predictions. This study concludes that while LSTMs are capable of learning the physical patterns of the system. The main challenge lies in feature encoding, specifically, enabling the model to capture complex, dynamic responses from static inputs. The framework demonstrates the potential of LSTMs, but emphasizes that how the data is represented is the key factor in developing a surrogate model suitable for design optimization.
...
The methodology involved three main stages. First, a 1D HEC-RAS model of the Clear Lake system was adapted to serve as the physics-based "ground truth" generator. Second, this model was used to generate a training dataset of 2,400 simulations. This was achieved by systematically sampling key infrastructure design parameters (gate width $W_g$, number of pumps $n_p$, and activation levels $h_{on}$) alongside a wide range of synthetic compound flood forcings (inflow hydrographs and downstream storm surge boundaries).
Third, three distinct Long Short-Term Memory (LSTM) network architectures (Models A, B, and C) were developed to compare different data encoding strategies. Model A, a direct sequence-to-sequence (seq2seq) model, was provided with all dynamic inputs, including the known pump discharge time series ($Q_{pump}$). Model B tested the model's ability to infer dynamics by replacing the $Q_{pump}$ time series with static design parameters ($n_p$, $h_{on}$). Model C used an autoregressive structure, feeding its own past water level predictions back as inputs to dynamically infer the pump response.
The results demonstrate that the fully-informed LSTM (Model A) can successfully learn and reproduce the governing hydrodynamic processes with very high accuracy. However, models that attempted to infer dynamic behavior from static design parameters (Models B and C) show reduced performance. These models particularly struggled to capture the sharp, transient effects of pump (de)activation, leading to overly smoothed predictions. This study concludes that while LSTMs are capable of learning the physical patterns of the system. The main challenge lies in feature encoding, specifically, enabling the model to capture complex, dynamic responses from static inputs. The framework demonstrates the potential of LSTMs, but emphasizes that how the data is represented is the key factor in developing a surrogate model suitable for design optimization.
Ageing industrial quay walls in seaports
Redefining evaluation factors for quay wall deformations
For various reasons, quay wall owners want to lower maintenance costs and postpone investments on their quay walls. Current methods for the reassessment of quay walls are partly depending on stochastic variables, which might lead to a rejection of the quay wall, while it is still safe to use them. Therefore, this research aims to develop an assessment method for existing quay walls based on observations of their real behaviour. This leads to the following research question:
How can existing quay walls in seaports be assessed using real-time data of their deformation behaviour?
In order to answer this question, a method was developed in this research for the assessment of quay walls based on their real behaviour. This method consists of 6 steps: .
1. The first step is the preparation of the data. All data is resampled to hourly values, in order to create a dataset with equal timestamps;
2. In the second step, Bayesian regression is used to create a prediction model of single measurement points on the quay wall;
3. The third step is to prepare the prediction models of the measurement points for the assessments;
4. The fourth step is the short term assessment of the quay wall. Real-time monitoring data is compared to the prediction model to assess if the quay wall shows safe deformation behaviour;
5. The fifth step is the assessment of the difference of the prediction models made for different measurement points on a single quay wall;
6. The sixth step is the assessment of the remaining capacity and the remaining lifetime of a quay wall.
To showcase the method and to verify and validate various aspects of the method, an example case was used. This case consists of four adjacent quay wall sections, that have been rejected by means of load/resistance based calculations. The developed assessment method was used to reassess these quay walls.
The results of this research show that the elastic behaviour of a quay wall is mainly influenced by the air and water temperature, the water level in the port, the groundwater level and direct loading. A prediction model created with Bayesian regression based on these causes was able to predict the quay wall behaviour accurate enough to use it for the assessments of the last three steps of the assessment method.
The application of the assessment method to the quay walls of the example case show that three of the four quay wall sections have enough resistance. One quay wall section shows questionable behaviour, which can be related to an early failure during the construction works.
The differences between the models of the different measurement points on the quay walls of the example case are all explainable by their location on the quay wall and the history of the quay wall. The most important explainer for the difference of the models of the different measurement points was the quay wall section on which the measurement points were located.
During the monitoring project, reinforcing measures were taken to try to reduce the ongoing quay wall deformation. The results of this research show that the measures were successful for most quay wall sections. Only at the section that was already showing questionable behaviour the situation worsened after the application of the reinforcing measures.
The conclusion of this research is that the six-step method explained above can be used to assess the deformation of a quay wall. Recommendations for future research are the broader application of the assessment method, the application of the assessment method with other monitoring techniques and the disentangling of the linear plastic trend in its deterministic causes. ...
For various reasons, quay wall owners want to lower maintenance costs and postpone investments on their quay walls. Current methods for the reassessment of quay walls are partly depending on stochastic variables, which might lead to a rejection of the quay wall, while it is still safe to use them. Therefore, this research aims to develop an assessment method for existing quay walls based on observations of their real behaviour. This leads to the following research question:
How can existing quay walls in seaports be assessed using real-time data of their deformation behaviour?
In order to answer this question, a method was developed in this research for the assessment of quay walls based on their real behaviour. This method consists of 6 steps: .
1. The first step is the preparation of the data. All data is resampled to hourly values, in order to create a dataset with equal timestamps;
2. In the second step, Bayesian regression is used to create a prediction model of single measurement points on the quay wall;
3. The third step is to prepare the prediction models of the measurement points for the assessments;
4. The fourth step is the short term assessment of the quay wall. Real-time monitoring data is compared to the prediction model to assess if the quay wall shows safe deformation behaviour;
5. The fifth step is the assessment of the difference of the prediction models made for different measurement points on a single quay wall;
6. The sixth step is the assessment of the remaining capacity and the remaining lifetime of a quay wall.
To showcase the method and to verify and validate various aspects of the method, an example case was used. This case consists of four adjacent quay wall sections, that have been rejected by means of load/resistance based calculations. The developed assessment method was used to reassess these quay walls.
The results of this research show that the elastic behaviour of a quay wall is mainly influenced by the air and water temperature, the water level in the port, the groundwater level and direct loading. A prediction model created with Bayesian regression based on these causes was able to predict the quay wall behaviour accurate enough to use it for the assessments of the last three steps of the assessment method.
The application of the assessment method to the quay walls of the example case show that three of the four quay wall sections have enough resistance. One quay wall section shows questionable behaviour, which can be related to an early failure during the construction works.
The differences between the models of the different measurement points on the quay walls of the example case are all explainable by their location on the quay wall and the history of the quay wall. The most important explainer for the difference of the models of the different measurement points was the quay wall section on which the measurement points were located.
During the monitoring project, reinforcing measures were taken to try to reduce the ongoing quay wall deformation. The results of this research show that the measures were successful for most quay wall sections. Only at the section that was already showing questionable behaviour the situation worsened after the application of the reinforcing measures.
The conclusion of this research is that the six-step method explained above can be used to assess the deformation of a quay wall. Recommendations for future research are the broader application of the assessment method, the application of the assessment method with other monitoring techniques and the disentangling of the linear plastic trend in its deterministic causes.
The main objective of this research is to compare the fragility curve method with the current Dutch guidelines for dike safety assessment. To achieve this, both methods are applied to two hypothetical sea dike trajectories. The first trajectory is relatively uniform, comprising dike sections that differ only slightly from one another. The second trajectory contains one dominant dike section. Three failure mechanisms are considered in the assessment, namely: inner slope stability, piping and overtopping. The conclusion of this research is that the fragility curve method is recommended over the current Dutch guidelines to compute the trajectory failure probability of the geotechnical failure mechanisms inner slope stability and piping. The current Dutch guidelines are recommended for computing the trajectory failure probability of the overtopping failure mechanism. Finally, when the failure mechanisms have comparable trajectory failure probabilities, the fragility curve method is recommended for calculating the total trajectory failure probability. ...
The main objective of this research is to compare the fragility curve method with the current Dutch guidelines for dike safety assessment. To achieve this, both methods are applied to two hypothetical sea dike trajectories. The first trajectory is relatively uniform, comprising dike sections that differ only slightly from one another. The second trajectory contains one dominant dike section. Three failure mechanisms are considered in the assessment, namely: inner slope stability, piping and overtopping. The conclusion of this research is that the fragility curve method is recommended over the current Dutch guidelines to compute the trajectory failure probability of the geotechnical failure mechanisms inner slope stability and piping. The current Dutch guidelines are recommended for computing the trajectory failure probability of the overtopping failure mechanism. Finally, when the failure mechanisms have comparable trajectory failure probabilities, the fragility curve method is recommended for calculating the total trajectory failure probability.
Risk screening for dam break failures
A simple method to identify dams with higher fatality hazards
The Cost of Risk Aversion
Eliciting risk preferences and re-evaluating flood protection standards in the Netherlands
Many prosperous areas around the world are situated near large bodies of water such as oceans, seas, and rivers. These bodies of water play a vital role in enhancing the prosperity of societies through various means. They provide convenient access to transportation, food, recreation, and many other benefits. However it is not only prosperity that follows, but also risk. This risk, defined as the product of probabilities and outcomes, is an inherent price that has to be paid to enjoy the social and economic fruits that are provided by these oceans, seas or rivers. As whenever one is close to a body of water, there exists a probability of a devastating outcome: A flood.
In order to effectively minimize and handle risks, the field of Flood Risk Management has naturally evolved. Within this field numerous decisions need to be made, such as determining an acceptable probability of flooding for a particular area or deciding when to evacuate if a flood is imminent. These decisions involve individuals who process information and make judgments under risk. However, it has been observed that the decision-making process is vulnerable to the influence of risk preferences. The St. Petersburg Paradox provides an illustrative example of how risk preferences can affect behavior, as individuals are only willing to pay a limited amount of money for an expected outcome of an infinite sum. By considering risk preferences, researchers were able to explain the observed mismatch between the expected value and the willingness-to-pay. This example raises the question of whether similar discrepancies between willingness to pay and expected outcomes can also arise in flood risk management, and whether the inclusion of these risk preferences can aid in the decision-making process under risk.
This research looks at ways of incorporating risk preferences into the field of Flood Risk Management. A stated preferences method is used to uncover the risk preferences of individuals for flood risk related problems, consisting of a series of flood related choice problems. The subsequent results are fitted to several commonly used risk preference models, which consist of a utility- and probability weighting function. A modified version of Prospect Theory by Tversky and Kahneman (1992) is found to best describe the risk preferences of individuals towards flood risk related problems. This research shows that individuals have similar risk preferences for flood risk related choice problems as for general (behavioural) economic choice problems. The found utility function shows that individuals have a diminishing sensitivity for outcomes that are larger in magnitude, with a greater diminishing effect for positive outcomes than for negative outcomes. Additionally, it became apparent that individuals experience flood-related losses around 1.5 times more intensely than equal gains, aligning with the current understanding of behavioural economics. The identified probability weighting function indicates that individuals overestimate small probabilities, perceiving them as greater than their actual value, while simultaneously underestimating large probabilities. The point where overestimation switches to underestimation occurs around probabilities of 0.3, in line with the results found in behavioural economics. Special attention was given to probabilities between one in a hundred thousand and one in a hundred where, instead of assuming a functional form for the probability weighting function, an additional elicitation was performed. This elicitation revealed that individuals perceive probabilities below one in a hundred as largely the same. Suggesting that people are unable to distinguish between very small probabilities, such as one in a thousand and one in ten thousand. This finding carries significant implications for the perceived level of safety in flood risk management, considering that flood safety standards typically fall below one in a hundred.
The found risk preferences are subsequently used to reevaluate the Statistical Value of Life (VOSL), previously found to be around €6.7 mln. by by de Blaeij (2003) and Bockarjova et al. (2009). Based on the found risk preferences and answers to the choice problems a new value of €11.8 mln. is found. Adjusted for inflation this value is around 1.18 to 1.33 higher than the previous found values. This research further looked at the influence of the additional risk premium in the Dutch discount rate for infrastructure projects and its effect on the safety standard in flood protections. Including a positive risk premium, which increases the overall discount rate, leads to a decrease in safety standards. This is the logical result of discounting future benefits in the form of reduced risk, while the incurred costs are borne in the present and are therefore not discounted. This decrease in safety standard is indicative of a risk seeking approach, which contradicts the risk-averse nature of the risk premium in the discount rate. To resolve this contradiction and adopt a risk-averse approach, several options for incorporating the risk-averse premium in the discount rate are proposed.
All the previous insights are used in a case study, which consists of the reevaluation of Dutch safety standards for all dike sections along rivers and coasts. The evaluation of optimal flooding probabilities for the Local Individual Risk (LIR) and the Social Cost-Benefit Analysis (SCBA) is modified to include the found risk preferences, along with the adjusted values for the discount rate and VOSL. The resulting criteria are then used to reassess the optimal classified flooding probabilities for various dike sections in the Netherlands. This adjusted evaluation shows that the ratio between the leading principles in the flood safety standards remains largely the same, but the optimal flood probabilities associated with these principles do change. Generally, these probabilities are reduced by approximately one order of magnitude when the best estimates found in this research are included, leading to a stricter safety standard for flooding. An analysis is conducted to examine the sensitivity of the different changes. This analysis demonstrates that the inclusion of risk preferences has the most significant impact on the optimal flooding probability for both the LIR and SCBA, with the probability weighting function exerting the most influence. When the best estimates for the adjusted evaluation are used, the additional costs for each resident of the Netherlands that are the result of risk aversion amount to €37 per year.
This research is concluded with the remark that the insights found in behavioural economics are useable and of value in the field of flood risk management. People tend to show the same degree of risk aversion when presented with an uncertain choice about flooding as they do when they are presented with an uncertain choice about economics, such as the problem posed in the St. Petersburg Paradox. Taking these risk preferences into account can help to better distribute the scarce resources such as time and money to where they are of most utility to society. ...
Many prosperous areas around the world are situated near large bodies of water such as oceans, seas, and rivers. These bodies of water play a vital role in enhancing the prosperity of societies through various means. They provide convenient access to transportation, food, recreation, and many other benefits. However it is not only prosperity that follows, but also risk. This risk, defined as the product of probabilities and outcomes, is an inherent price that has to be paid to enjoy the social and economic fruits that are provided by these oceans, seas or rivers. As whenever one is close to a body of water, there exists a probability of a devastating outcome: A flood.
In order to effectively minimize and handle risks, the field of Flood Risk Management has naturally evolved. Within this field numerous decisions need to be made, such as determining an acceptable probability of flooding for a particular area or deciding when to evacuate if a flood is imminent. These decisions involve individuals who process information and make judgments under risk. However, it has been observed that the decision-making process is vulnerable to the influence of risk preferences. The St. Petersburg Paradox provides an illustrative example of how risk preferences can affect behavior, as individuals are only willing to pay a limited amount of money for an expected outcome of an infinite sum. By considering risk preferences, researchers were able to explain the observed mismatch between the expected value and the willingness-to-pay. This example raises the question of whether similar discrepancies between willingness to pay and expected outcomes can also arise in flood risk management, and whether the inclusion of these risk preferences can aid in the decision-making process under risk.
This research looks at ways of incorporating risk preferences into the field of Flood Risk Management. A stated preferences method is used to uncover the risk preferences of individuals for flood risk related problems, consisting of a series of flood related choice problems. The subsequent results are fitted to several commonly used risk preference models, which consist of a utility- and probability weighting function. A modified version of Prospect Theory by Tversky and Kahneman (1992) is found to best describe the risk preferences of individuals towards flood risk related problems. This research shows that individuals have similar risk preferences for flood risk related choice problems as for general (behavioural) economic choice problems. The found utility function shows that individuals have a diminishing sensitivity for outcomes that are larger in magnitude, with a greater diminishing effect for positive outcomes than for negative outcomes. Additionally, it became apparent that individuals experience flood-related losses around 1.5 times more intensely than equal gains, aligning with the current understanding of behavioural economics. The identified probability weighting function indicates that individuals overestimate small probabilities, perceiving them as greater than their actual value, while simultaneously underestimating large probabilities. The point where overestimation switches to underestimation occurs around probabilities of 0.3, in line with the results found in behavioural economics. Special attention was given to probabilities between one in a hundred thousand and one in a hundred where, instead of assuming a functional form for the probability weighting function, an additional elicitation was performed. This elicitation revealed that individuals perceive probabilities below one in a hundred as largely the same. Suggesting that people are unable to distinguish between very small probabilities, such as one in a thousand and one in ten thousand. This finding carries significant implications for the perceived level of safety in flood risk management, considering that flood safety standards typically fall below one in a hundred.
The found risk preferences are subsequently used to reevaluate the Statistical Value of Life (VOSL), previously found to be around €6.7 mln. by by de Blaeij (2003) and Bockarjova et al. (2009). Based on the found risk preferences and answers to the choice problems a new value of €11.8 mln. is found. Adjusted for inflation this value is around 1.18 to 1.33 higher than the previous found values. This research further looked at the influence of the additional risk premium in the Dutch discount rate for infrastructure projects and its effect on the safety standard in flood protections. Including a positive risk premium, which increases the overall discount rate, leads to a decrease in safety standards. This is the logical result of discounting future benefits in the form of reduced risk, while the incurred costs are borne in the present and are therefore not discounted. This decrease in safety standard is indicative of a risk seeking approach, which contradicts the risk-averse nature of the risk premium in the discount rate. To resolve this contradiction and adopt a risk-averse approach, several options for incorporating the risk-averse premium in the discount rate are proposed.
All the previous insights are used in a case study, which consists of the reevaluation of Dutch safety standards for all dike sections along rivers and coasts. The evaluation of optimal flooding probabilities for the Local Individual Risk (LIR) and the Social Cost-Benefit Analysis (SCBA) is modified to include the found risk preferences, along with the adjusted values for the discount rate and VOSL. The resulting criteria are then used to reassess the optimal classified flooding probabilities for various dike sections in the Netherlands. This adjusted evaluation shows that the ratio between the leading principles in the flood safety standards remains largely the same, but the optimal flood probabilities associated with these principles do change. Generally, these probabilities are reduced by approximately one order of magnitude when the best estimates found in this research are included, leading to a stricter safety standard for flooding. An analysis is conducted to examine the sensitivity of the different changes. This analysis demonstrates that the inclusion of risk preferences has the most significant impact on the optimal flooding probability for both the LIR and SCBA, with the probability weighting function exerting the most influence. When the best estimates for the adjusted evaluation are used, the additional costs for each resident of the Netherlands that are the result of risk aversion amount to €37 per year.
This research is concluded with the remark that the insights found in behavioural economics are useable and of value in the field of flood risk management. People tend to show the same degree of risk aversion when presented with an uncertain choice about flooding as they do when they are presented with an uncertain choice about economics, such as the problem posed in the St. Petersburg Paradox. Taking these risk preferences into account can help to better distribute the scarce resources such as time and money to where they are of most utility to society.
Design of a flood bypass tunnel for Valkenburg aan de Geul
Operation and hydraulic design to reduce the risk of flooding
In previous studies, different solutions were proposed for reducing the flood risk such as flood walls in Valkenburg; however, due to the locational difficulties, many options are difficult to implement except for the option of a flood bypass tunnel. A flood bypass tunnel has never been applied in the Netherlands, however; it is applied in mountainous countries. A flood bypass tunnel rapidly conveys floodwaters through densely populated areas. For Valkenburg, a flood bypass tunnel will reduce the flood risk locally while taking up little space and keeping the historic district intact.
Recent research did not look further into the opportunity of a flood bypass tunnel as a flood measure assuming it would be too expensive (Asselman & van Heeringen, 2023). However, different studies concluded that a flood bypass tunnel is a viable option (Van Dijk, 2022; Kallen et al., 2022; Leijser & Nijhof, 2022). Nonetheless, a flood bypass tunnel has never been applied in the Netherlands, and there is no prior research detailing the hydraulic and operational applicability of a flood bypass tunnel for Valkenburg aan de Geul. The main objective of this thesis is therefore to develop a hydraulic flood bypass tunnel design for Valkenburg aan de Geul which should operate to reduce the flood risk.
The objective is reached by combining the design approach for hydraulic structures with a Systems Engineering approach. First, the river system and its environment are analysed. Secondly, the basis of the design is determined. Thirdly, two alternative designs are developed from the two different types of reference projects: a passive and an active flood bypass tunnel.
The first design alternative is based on a passive flood bypass tunnel. It consists of a 2.4-meter-tall and 24.5-meter-wide Ogee weir, two tunnel tubes of 3.5 m diameter, and allows for a maximum discharge capacity of 55 m3/s. Once the tunnel is filled, the flow is pressurised. After a flood, the remaining water will be pumped out. A co-current channel is designed to prevent water from refilling the tunnel from the outlet side in a non-flooding situation.
The second design alternative is based on an active flood bypass tunnel. It consists of four vertical moving flat gates at the inlets and outlets, two tubes of 3.5 m diameter, and allows for a maximum discharge capacity of 58 m3/s. The water level will be controlled by the flat gates using a system for early automatic detection of flood hazards. The tunnel is always filled, thus pressurised. After a flood, the gates at the in- and outlets will close off the tunnel from its environment. The gates are tested twice a year, during which the system is flushed and refreshed.
The two design alternatives were evaluated according to six weighted criteria and ranked using a multi-criteria analysis in discussion with the municipality (gemeente Valkenburg aan de Geul) and the waterboard (waterschap Limburg), and a cost analysis was conducted. The first design alternative with the passive flood bypass tunnel was selected due to its high reliability and serviceability, which were highly valued, and low maintenance costs, compared to the second design alternative
The flood bypass tunnel reduces the flood risk based on discharge reduction from an estimated once every 19 years to once every 250 years in the current climate. This accounts for uncertainty due to climate change and ensures flood risk reduction in the future. The flood bypass is only active when a flood is impending; hence the water remains to flow through the Geul and does not interfere with the cultural heritage and tourism of Valkenburg aan de Geul. Due to the cost-efficient pipe jacking method, the total construction cost is approximately €40 million with an estimated yearly maintenance cost of €100 k.
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In previous studies, different solutions were proposed for reducing the flood risk such as flood walls in Valkenburg; however, due to the locational difficulties, many options are difficult to implement except for the option of a flood bypass tunnel. A flood bypass tunnel has never been applied in the Netherlands, however; it is applied in mountainous countries. A flood bypass tunnel rapidly conveys floodwaters through densely populated areas. For Valkenburg, a flood bypass tunnel will reduce the flood risk locally while taking up little space and keeping the historic district intact.
Recent research did not look further into the opportunity of a flood bypass tunnel as a flood measure assuming it would be too expensive (Asselman & van Heeringen, 2023). However, different studies concluded that a flood bypass tunnel is a viable option (Van Dijk, 2022; Kallen et al., 2022; Leijser & Nijhof, 2022). Nonetheless, a flood bypass tunnel has never been applied in the Netherlands, and there is no prior research detailing the hydraulic and operational applicability of a flood bypass tunnel for Valkenburg aan de Geul. The main objective of this thesis is therefore to develop a hydraulic flood bypass tunnel design for Valkenburg aan de Geul which should operate to reduce the flood risk.
The objective is reached by combining the design approach for hydraulic structures with a Systems Engineering approach. First, the river system and its environment are analysed. Secondly, the basis of the design is determined. Thirdly, two alternative designs are developed from the two different types of reference projects: a passive and an active flood bypass tunnel.
The first design alternative is based on a passive flood bypass tunnel. It consists of a 2.4-meter-tall and 24.5-meter-wide Ogee weir, two tunnel tubes of 3.5 m diameter, and allows for a maximum discharge capacity of 55 m3/s. Once the tunnel is filled, the flow is pressurised. After a flood, the remaining water will be pumped out. A co-current channel is designed to prevent water from refilling the tunnel from the outlet side in a non-flooding situation.
The second design alternative is based on an active flood bypass tunnel. It consists of four vertical moving flat gates at the inlets and outlets, two tubes of 3.5 m diameter, and allows for a maximum discharge capacity of 58 m3/s. The water level will be controlled by the flat gates using a system for early automatic detection of flood hazards. The tunnel is always filled, thus pressurised. After a flood, the gates at the in- and outlets will close off the tunnel from its environment. The gates are tested twice a year, during which the system is flushed and refreshed.
The two design alternatives were evaluated according to six weighted criteria and ranked using a multi-criteria analysis in discussion with the municipality (gemeente Valkenburg aan de Geul) and the waterboard (waterschap Limburg), and a cost analysis was conducted. The first design alternative with the passive flood bypass tunnel was selected due to its high reliability and serviceability, which were highly valued, and low maintenance costs, compared to the second design alternative
The flood bypass tunnel reduces the flood risk based on discharge reduction from an estimated once every 19 years to once every 250 years in the current climate. This accounts for uncertainty due to climate change and ensures flood risk reduction in the future. The flood bypass is only active when a flood is impending; hence the water remains to flow through the Geul and does not interfere with the cultural heritage and tourism of Valkenburg aan de Geul. Due to the cost-efficient pipe jacking method, the total construction cost is approximately €40 million with an estimated yearly maintenance cost of €100 k.
The FEWS network for the Geul uses forecasted precipitation data to predict discharge and water level conditions for the Geul. In the event that the predictions result in an abnormally high water level, warnings can be communicated to the necessary parties and to the population to allow for ample preparation. At the time of the July 2021 flood, the system was offline, with experts familiar with the network believing that it would not have worked even if it was online. This project aimed to analyze the existing FEWS from data collection to communication of warnings to locate existing issues and potential sources of weakness, thereby improving the system to effectively warn for future floods.
Each step of the FEWS was tested to find and strengthen potential weaknesses. The data inputs were analyzed and compared to the recorded precipitation that occurred in July 2021. Then, this data was inputted into the FEWS prediction models to understand how the system would have calculated the discharge and water level for that event. Both the July 2021 flood event as well as four non-flooding scenarios (summer storm, winter storm, dry season, wet season) were tested. The models were then used to create a flood map, and this flood map was inputted into the Damage and Casualties Model (SSM2017) to estimate how much in damage costs could be saved for the case with FEWS and the case without FEWS. Communication and evacuation were not extensively tested in this research project due to these components being determined by social and political frameworks.
When inputting the precipitation data associated with the July 2021 flood, it was found that the 1D model overestimated the water level to be 76.5 m+NAP, 6.5 m greater than the expected water level. Implementing a 2D grid reduced this value to 70 m+NAP, which matched the expected water level. It was also found that both HBV and SOBEK produce simulation results that consistently do not align with recorded data, suggesting a need to recalibrate the models to better reflect the behavior of the Geul River. Analyzing the recorded discharge and precipitation data found that using forecasted precipitation data gives Valkenburg enough time to communicate warnings and evacuate if necessary. Cost-benefit analysis that compared the economic impact of warning versus not warning revealed that warning and evacuation is more cost-effective than not not warning and evacuating, even in the case of a false alarm. An evacuation in the event of a false alarm can cost 1/10 of the difference in damage costs with and without evacuation. However, false alarms must still be avoided, as they erode trust in the warning system, thereby reducing its effectiveness in possible cost and loss of life reduction. Analysis of the expected costs of damage with and without the warning system revealed that the inclusion of the warning system has the potential to reduce the total expected damage by more than 50%.
The insights found in this project can be used to improve the FEWS for the Geul. Future research can be done to create a 2D or quasi-2D model that can predict the discharge and water levels of the Geul in a timely manner (no more than one-two hours’ simulation time). The 2D aspect is important to a warning system as the expected amount of water affects how the community prepares for the disaster. This project can contribute not only to the improvement of the FEWS for the Geul but also for the improvement or creation of FEWS for other river catchments in newly vulnerable cities. ...
The FEWS network for the Geul uses forecasted precipitation data to predict discharge and water level conditions for the Geul. In the event that the predictions result in an abnormally high water level, warnings can be communicated to the necessary parties and to the population to allow for ample preparation. At the time of the July 2021 flood, the system was offline, with experts familiar with the network believing that it would not have worked even if it was online. This project aimed to analyze the existing FEWS from data collection to communication of warnings to locate existing issues and potential sources of weakness, thereby improving the system to effectively warn for future floods.
Each step of the FEWS was tested to find and strengthen potential weaknesses. The data inputs were analyzed and compared to the recorded precipitation that occurred in July 2021. Then, this data was inputted into the FEWS prediction models to understand how the system would have calculated the discharge and water level for that event. Both the July 2021 flood event as well as four non-flooding scenarios (summer storm, winter storm, dry season, wet season) were tested. The models were then used to create a flood map, and this flood map was inputted into the Damage and Casualties Model (SSM2017) to estimate how much in damage costs could be saved for the case with FEWS and the case without FEWS. Communication and evacuation were not extensively tested in this research project due to these components being determined by social and political frameworks.
When inputting the precipitation data associated with the July 2021 flood, it was found that the 1D model overestimated the water level to be 76.5 m+NAP, 6.5 m greater than the expected water level. Implementing a 2D grid reduced this value to 70 m+NAP, which matched the expected water level. It was also found that both HBV and SOBEK produce simulation results that consistently do not align with recorded data, suggesting a need to recalibrate the models to better reflect the behavior of the Geul River. Analyzing the recorded discharge and precipitation data found that using forecasted precipitation data gives Valkenburg enough time to communicate warnings and evacuate if necessary. Cost-benefit analysis that compared the economic impact of warning versus not warning revealed that warning and evacuation is more cost-effective than not not warning and evacuating, even in the case of a false alarm. An evacuation in the event of a false alarm can cost 1/10 of the difference in damage costs with and without evacuation. However, false alarms must still be avoided, as they erode trust in the warning system, thereby reducing its effectiveness in possible cost and loss of life reduction. Analysis of the expected costs of damage with and without the warning system revealed that the inclusion of the warning system has the potential to reduce the total expected damage by more than 50%.
The insights found in this project can be used to improve the FEWS for the Geul. Future research can be done to create a 2D or quasi-2D model that can predict the discharge and water levels of the Geul in a timely manner (no more than one-two hours’ simulation time). The 2D aspect is important to a warning system as the expected amount of water affects how the community prepares for the disaster. This project can contribute not only to the improvement of the FEWS for the Geul but also for the improvement or creation of FEWS for other river catchments in newly vulnerable cities.
The main objective of this thesis is to determine the most cost-efficient maintenance strategy for the next generation Meuse weirs. Part of the objective of this study is also to determine the influence of ship collisions on the availability and costs of weirs. In this thesis a case study is used to set up the analysis. The case study consists of two weir alternatives that were proposed as the replacement for the weir in Grave.
Based on the results for both the availability and costs of both maintenance strategies in this report it seems that the preventive maintenance strategy performs better than the corrective maintenance strategy for both weir alternatives. The availability under preventive maintenance is higher and the total costs (maintenance costs and repair costs) are lower under preventive maintenance. The availability of the weirs are mostly influenced by the failure mechanism of ship collision and the weir component “hydraulic aggregates”. The largest contributor to the maintenance costs are the hydraulic cylinders and for the repair costs the most significant contributor are the hydraulic aggregates. Ship collisions seem to influence the availability greatly, but has limited influence on the repair costs of the weirs.
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The main objective of this thesis is to determine the most cost-efficient maintenance strategy for the next generation Meuse weirs. Part of the objective of this study is also to determine the influence of ship collisions on the availability and costs of weirs. In this thesis a case study is used to set up the analysis. The case study consists of two weir alternatives that were proposed as the replacement for the weir in Grave.
Based on the results for both the availability and costs of both maintenance strategies in this report it seems that the preventive maintenance strategy performs better than the corrective maintenance strategy for both weir alternatives. The availability under preventive maintenance is higher and the total costs (maintenance costs and repair costs) are lower under preventive maintenance. The availability of the weirs are mostly influenced by the failure mechanism of ship collision and the weir component “hydraulic aggregates”. The largest contributor to the maintenance costs are the hydraulic cylinders and for the repair costs the most significant contributor are the hydraulic aggregates. Ship collisions seem to influence the availability greatly, but has limited influence on the repair costs of the weirs.
Feasibility of the Polders
When can the Dutch polderconcept become economically unviable?
To more accurately determine the economic viability of the Dutch polder concept, additions to the research of Eijgenraam are proposed that fill in the current knowledge gaps. The result of this research is a mathematical framework for the optimization of dike reinforcements in two dimensions, the lifetime of the structure and the crest height increase of the dike. The framework consist of a discounted Cost-Benefit Analysis with a financial constraint and a constraint on the maximum allowable time before reinforcement is needed. This framework contains stochastic elements in it’s parameters and a stochastic model for the discount rate. The derived framework was subsequently used to analyse two case studies based on regions in the Netherlands. The two case studies were based on the dikering of IJsselmonde (dikering 17) and the dikering of Walcheren (dikering 29). The results were determined for the two climate scenario’s posed by the IPCC and KNMI by means of a Monte Carlo simulation.
This research has opened up the possibility to compare alternatives over different time periods and re- inforcement measures with different constraints and stochastic parameters, adding to the work done by Eijgenraam. As such, a more risk-informed discussion on the general viability of the polderconcept can be had, ultimately resulting in a more informed decision on the future of the polders in the Netherlands. ...
To more accurately determine the economic viability of the Dutch polder concept, additions to the research of Eijgenraam are proposed that fill in the current knowledge gaps. The result of this research is a mathematical framework for the optimization of dike reinforcements in two dimensions, the lifetime of the structure and the crest height increase of the dike. The framework consist of a discounted Cost-Benefit Analysis with a financial constraint and a constraint on the maximum allowable time before reinforcement is needed. This framework contains stochastic elements in it’s parameters and a stochastic model for the discount rate. The derived framework was subsequently used to analyse two case studies based on regions in the Netherlands. The two case studies were based on the dikering of IJsselmonde (dikering 17) and the dikering of Walcheren (dikering 29). The results were determined for the two climate scenario’s posed by the IPCC and KNMI by means of a Monte Carlo simulation.
This research has opened up the possibility to compare alternatives over different time periods and re- inforcement measures with different constraints and stochastic parameters, adding to the work done by Eijgenraam. As such, a more risk-informed discussion on the general viability of the polderconcept can be had, ultimately resulting in a more informed decision on the future of the polders in the Netherlands.
Modelling interactions between quay walls and utility lines
In the inner-city of Amsterdam
The literature study showed that quay wall displacement and failure due to utility line leakage follows from internal erosion processes. Two requirements have to be met for instigation of internal erosion: a local head difference between the water level in the channel and the groundwater level in the soil body behind the quay wall, and an open connection in the quay wall structure in the vicinity of the aforementioned local head difference, enabling the flow of soil via water. The rise of the groundwater level can be the result of a potable water pipe leakage, but can also follow from external factors like heavy rainfall. Three forms of open connections were appointed. The first is scour protection screen leakage, which can result in erosion underneath the structure. The second is quay wall floor leakage, which can result in both erosion underneath structure and erosion in the soil body behind the quay wall. The third is sewer leakage, which can result in erosion in the soil body behind the quay wall. In the latter, the aforementioned head difference is not required. This is because the direction of groundwater flow is not towards the channel, but towards the sewer leakage, given that the sewer pipe is located below the groundwater level. Erosion underneath the quay wall floor can result in quay wall displacement towards the channel, while erosion in the soil body behind the structure can result in the formation of a subsidence pit.
Both erosion underneath- as well as behind the structure can result in (further) deformations of utility lines. The former through quay wall displacement towards the channel, resulting in local soil displacement in which said utility line is embedded in. The latter trough local loss of soil, resulting in a local reduction of support. Both have the potential to result in relative utility line displacements, which can result in leakages. This process is can be denoted as a positive feedback loop. Actual failure of the quay wall due to utility line leakage can come in the form of collapse of the quay wall towards the channel or collapse of the road on top of the structure in the formed subsidence pit. Due to the dependence on external factors, quay wall failure resulting from utility line leakage can be described as a second order effect.
It was found that exceedance of the maximum allowable angular deflection of the utility line joints is most likely to result in leakages. Leakage due to exceedance of maximum allowable bending moment is relatively less likely but still significant, while leakage due to exceedance of maximum allowable shear force is unlikely. In all utility lines, a higher bending stiffness resulted in a lower susceptibility to leakage. If utility lines are deemed susceptible to leakage, it is advised that these are monitored intensely. ...
The literature study showed that quay wall displacement and failure due to utility line leakage follows from internal erosion processes. Two requirements have to be met for instigation of internal erosion: a local head difference between the water level in the channel and the groundwater level in the soil body behind the quay wall, and an open connection in the quay wall structure in the vicinity of the aforementioned local head difference, enabling the flow of soil via water. The rise of the groundwater level can be the result of a potable water pipe leakage, but can also follow from external factors like heavy rainfall. Three forms of open connections were appointed. The first is scour protection screen leakage, which can result in erosion underneath the structure. The second is quay wall floor leakage, which can result in both erosion underneath structure and erosion in the soil body behind the quay wall. The third is sewer leakage, which can result in erosion in the soil body behind the quay wall. In the latter, the aforementioned head difference is not required. This is because the direction of groundwater flow is not towards the channel, but towards the sewer leakage, given that the sewer pipe is located below the groundwater level. Erosion underneath the quay wall floor can result in quay wall displacement towards the channel, while erosion in the soil body behind the structure can result in the formation of a subsidence pit.
Both erosion underneath- as well as behind the structure can result in (further) deformations of utility lines. The former through quay wall displacement towards the channel, resulting in local soil displacement in which said utility line is embedded in. The latter trough local loss of soil, resulting in a local reduction of support. Both have the potential to result in relative utility line displacements, which can result in leakages. This process is can be denoted as a positive feedback loop. Actual failure of the quay wall due to utility line leakage can come in the form of collapse of the quay wall towards the channel or collapse of the road on top of the structure in the formed subsidence pit. Due to the dependence on external factors, quay wall failure resulting from utility line leakage can be described as a second order effect.
It was found that exceedance of the maximum allowable angular deflection of the utility line joints is most likely to result in leakages. Leakage due to exceedance of maximum allowable bending moment is relatively less likely but still significant, while leakage due to exceedance of maximum allowable shear force is unlikely. In all utility lines, a higher bending stiffness resulted in a lower susceptibility to leakage. If utility lines are deemed susceptible to leakage, it is advised that these are monitored intensely.
The cantilever rolling gate
A rolling gate for a maritime navigation lock without mechanical parts under water
Six variants are designed and evaluated using a qualitative Multi Criteria Analysis (MCA) and the Cantilever rolling gate is evaluated most feasible. The Cantilever rolling gate concept is a system in which all the rolling supports are located on an extension to the side of the gate. The gate is balanced by a counterweight and in a way 'hangs' in the gate chamber. The carriages are connected to the gate by hinges, which ensure the perpendicular horizontal movement of the gate in closed position to seal the lock against rubber profiles on the sill, gate chamber and recess.
Subsequently the Cantilever rolling gate is further elaborated at the case study location by means of structural calculations. The focus of the design calculations is on the load balance of the gate and supports in the longitudinal direction. To minimise the required extension of the gate chamber, the added cantilever length is kept as short as possible. To find the most optimal cantilever length, limits are defined regarding the minimum required force acting downwards on the carriages to maintain equilibrium and the maximum design capacities of the wheels and rails with respect to strength and fatigue.
Based on the performed calculations, the most optimal Cantilever rolling gate design for the Western lock in Terneuzen has the following properties; an added cantilever part with a length of 16.6 meters; a cantilever truss structure constructed of Circular Hollow Sections (69 t); a counterweight directly below the back carriage (1083 t); an 8-wheel front carriage and a 4-wheel back carriage.
The added cantilever structure of 16.6 m extends the gate part of 44.6 m by 37%. The designed cantilever rolling gate fits at the location of the case study, but the lock chamber and rails should be lengthened by 16.6 m to fit the extended gate.
Based on this research it is expected that the concept of a Cantilever rolling gate is technically possible. However, it is not yet certain whether the Cantilever rolling gate will also be feasible in practice. Some additional development is still required before the design can be considered fully technically feasible. For example, it is important that the horizontal force transmission and guidance is further evaluated. It is also recommended to calculate the actual availability and determine whether the difference in availability between the Cantilever rolling gate and the conventional rolling gate outweighs the cost.
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Six variants are designed and evaluated using a qualitative Multi Criteria Analysis (MCA) and the Cantilever rolling gate is evaluated most feasible. The Cantilever rolling gate concept is a system in which all the rolling supports are located on an extension to the side of the gate. The gate is balanced by a counterweight and in a way 'hangs' in the gate chamber. The carriages are connected to the gate by hinges, which ensure the perpendicular horizontal movement of the gate in closed position to seal the lock against rubber profiles on the sill, gate chamber and recess.
Subsequently the Cantilever rolling gate is further elaborated at the case study location by means of structural calculations. The focus of the design calculations is on the load balance of the gate and supports in the longitudinal direction. To minimise the required extension of the gate chamber, the added cantilever length is kept as short as possible. To find the most optimal cantilever length, limits are defined regarding the minimum required force acting downwards on the carriages to maintain equilibrium and the maximum design capacities of the wheels and rails with respect to strength and fatigue.
Based on the performed calculations, the most optimal Cantilever rolling gate design for the Western lock in Terneuzen has the following properties; an added cantilever part with a length of 16.6 meters; a cantilever truss structure constructed of Circular Hollow Sections (69 t); a counterweight directly below the back carriage (1083 t); an 8-wheel front carriage and a 4-wheel back carriage.
The added cantilever structure of 16.6 m extends the gate part of 44.6 m by 37%. The designed cantilever rolling gate fits at the location of the case study, but the lock chamber and rails should be lengthened by 16.6 m to fit the extended gate.
Based on this research it is expected that the concept of a Cantilever rolling gate is technically possible. However, it is not yet certain whether the Cantilever rolling gate will also be feasible in practice. Some additional development is still required before the design can be considered fully technically feasible. For example, it is important that the horizontal force transmission and guidance is further evaluated. It is also recommended to calculate the actual availability and determine whether the difference in availability between the Cantilever rolling gate and the conventional rolling gate outweighs the cost.
Flood Fragility of a Cavity Wall
Experimental results on the deformations of a window-featured cavity wall due to hydrostatic flood actions and failure of the window-wall interface
A window-featured cavity wall section was constructed at the Flood Proof Holland facility, using calcium silicate bricks, fired clay bricks, and a weaker mortar to partly account for the virgin effect of any newly-built wall. Both inner and outer walls were connected with adequate wall ties. The wall section was subjected to several hydrostatic pressures at both sides. These experiments were performed to physically grasp the deformations corresponding to certain flood scenarios affecting cavity wall sections from ordinary terraced houses. Additionally, the effect of the window was investigated; both on the stability and its contribution to the water height inside a residence.
Computations showed that the cavity wall in a one-way bending configuration starts to show significant cracks between 1.3 and 1.6 meters of outside water level. Because of the brittleness of the masonry, this would imply failure. It was further found that the non-linear deformations would reach 4 millimeters. Considering that for these water levels the internal moments were still far from their maximum capacity, the results suggest that failure occurred due to cracks that were forced to form because of the deformations. This indicates that modern cavity walls are still quite vulnerable for floods and their flood actions. The influence of the hydrostatic pressure, however, can be decreased considerably by a water level inside the residence that acts as a counter force. Contrary to what was expected, the window does not contribute to this inside water level, since its leakages turn out to be negligible. To keep the damages to a minimum and preserve the overall stability, it is advised to seal the residence to a height of 1.0 meter; floods that exceed this sealing should not be countered anymore and rather be allowed to enter the residence.
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A window-featured cavity wall section was constructed at the Flood Proof Holland facility, using calcium silicate bricks, fired clay bricks, and a weaker mortar to partly account for the virgin effect of any newly-built wall. Both inner and outer walls were connected with adequate wall ties. The wall section was subjected to several hydrostatic pressures at both sides. These experiments were performed to physically grasp the deformations corresponding to certain flood scenarios affecting cavity wall sections from ordinary terraced houses. Additionally, the effect of the window was investigated; both on the stability and its contribution to the water height inside a residence.
Computations showed that the cavity wall in a one-way bending configuration starts to show significant cracks between 1.3 and 1.6 meters of outside water level. Because of the brittleness of the masonry, this would imply failure. It was further found that the non-linear deformations would reach 4 millimeters. Considering that for these water levels the internal moments were still far from their maximum capacity, the results suggest that failure occurred due to cracks that were forced to form because of the deformations. This indicates that modern cavity walls are still quite vulnerable for floods and their flood actions. The influence of the hydrostatic pressure, however, can be decreased considerably by a water level inside the residence that acts as a counter force. Contrary to what was expected, the window does not contribute to this inside water level, since its leakages turn out to be negligible. To keep the damages to a minimum and preserve the overall stability, it is advised to seal the residence to a height of 1.0 meter; floods that exceed this sealing should not be countered anymore and rather be allowed to enter the residence.
Global mapping of nature based flood risk reduction solutions
A global study on the costs and benefits of nature based solutions compared to conventional hard solutions
NBS can be applied depending on the local physical conditions, 2) determining the costs for both NBS and conventional hard solutions, 3) determining the increase/decrease in flood risk of the different interventions for current and future conditions, 4) monetizing additional benefits that NBS provide, 5) assessing the benefits and costs to determine if NBS are the most optimal solution. The results of this global method are inherently limited by several simplifying assumptions and by the lack of high resolution local data, which influences the cost/risk estimates and corresponding site identification. For 2.6-3.3% of the coastal hotspots, NBS can reduce the investment costs in addition to being cost-beneficial. There is potential for expanding this work by adding sea grasses, salt marshes and oyster reefs as vegetated foreshore systems, and by including more thresholds to make the criterion for potential sites to apply NBS more strict.
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NBS can be applied depending on the local physical conditions, 2) determining the costs for both NBS and conventional hard solutions, 3) determining the increase/decrease in flood risk of the different interventions for current and future conditions, 4) monetizing additional benefits that NBS provide, 5) assessing the benefits and costs to determine if NBS are the most optimal solution. The results of this global method are inherently limited by several simplifying assumptions and by the lack of high resolution local data, which influences the cost/risk estimates and corresponding site identification. For 2.6-3.3% of the coastal hotspots, NBS can reduce the investment costs in addition to being cost-beneficial. There is potential for expanding this work by adding sea grasses, salt marshes and oyster reefs as vegetated foreshore systems, and by including more thresholds to make the criterion for potential sites to apply NBS more strict.
The Segment barrier
A case study on the applicability of new conceptual designs for a storm surge barrier at Long Island Sound, USA
Re-use of immersed tunnels
An innovative method for recovering, regenerating and reusing immersed tunnels by temporarily re-floating
Improving flood fatality risk assessment for river flooding in the Netherlands
Implications of alternative functions and model resolution variations on mortality and fatalities in the Bommelerwaard