H. Hendrikse
Please Note
22 records found
1
Towed Transportation of Floating Monopiles
A Linearised Dynamic Stability Analysis
The analytical equation of motion for a towed flexible cylinder in still water is derived using linear assumptions, which is then further simplified using rigid body assumption. Using the frequency domain analysis, the analytical equations are solved for complex frequency roots to draw conclusions regarding the stability of the system. Additionally, stochastic lateral distributed drag is also incorporated in the model. However, the analytical model does not include the effect of added mass and damping due to the fluid. The necessary numerical hydrodynamic added mass, damping and forces are obtained through ANSYS Aqwa, using linear potential theory with one way fluid structure interaction.
The hydrodynamic numerical results are however, only for real and positive frequencies and are not solvable analytically. The D-decomposition method is employed in order to circumvent this limitation of the numerical model with added mass and damping, that maps the critical axis of frequency roots on a complex plane of a chosen parameter. This allows the formation of the zones of stability through which critical values can be obtained for a parameter.
A parametric analysis, excluding the geometric parameters of the monopile, shows that the axial drag resistance terms do not affect the stability of the system, while the stochastic drag is an unreliable means of stabilising the system due to wave angle dependence. On the other hand, the added mass and damping tend to destabilise the system as tow velocity increases and their effect is significant. Furthermore, the mathematical boundary damper shows that the stabilising appendage at the tail, in the form of a skeg, can stabilise the system. Though, a detailed study on the stabilising appendage needs to be performed.
In conclusion, this study provides a basis for a linearised dynamic stability analysis of a floating monopile under tow with added mass and damping effects, upon which further studies, experimental as well as theoretical, can be performed for validation and improvements. ...
The analytical equation of motion for a towed flexible cylinder in still water is derived using linear assumptions, which is then further simplified using rigid body assumption. Using the frequency domain analysis, the analytical equations are solved for complex frequency roots to draw conclusions regarding the stability of the system. Additionally, stochastic lateral distributed drag is also incorporated in the model. However, the analytical model does not include the effect of added mass and damping due to the fluid. The necessary numerical hydrodynamic added mass, damping and forces are obtained through ANSYS Aqwa, using linear potential theory with one way fluid structure interaction.
The hydrodynamic numerical results are however, only for real and positive frequencies and are not solvable analytically. The D-decomposition method is employed in order to circumvent this limitation of the numerical model with added mass and damping, that maps the critical axis of frequency roots on a complex plane of a chosen parameter. This allows the formation of the zones of stability through which critical values can be obtained for a parameter.
A parametric analysis, excluding the geometric parameters of the monopile, shows that the axial drag resistance terms do not affect the stability of the system, while the stochastic drag is an unreliable means of stabilising the system due to wave angle dependence. On the other hand, the added mass and damping tend to destabilise the system as tow velocity increases and their effect is significant. Furthermore, the mathematical boundary damper shows that the stabilising appendage at the tail, in the form of a skeg, can stabilise the system. Though, a detailed study on the stabilising appendage needs to be performed.
In conclusion, this study provides a basis for a linearised dynamic stability analysis of a floating monopile under tow with added mass and damping effects, upon which further studies, experimental as well as theoretical, can be performed for validation and improvements.
Dynamics of Offshore Wind Turbine Towers Onboard a Jack-Up Vessel
Modelling Dynamic Structural Interaction Between an In-Place Jack-Up Vessel and an Offshore Wind Turbine Tower Group for Flow-Induced Vibration Assessment
This thesis investigates how the dynamic response of the tower group on board the jack-up vessel differs between a global jack-up model and local hull and grillage model. A computationally efficient finite element model of the jack-up-tower system was developed. This was achieved by combining a Craig-Bampton reduced hull model with beam representations of the legs and towers. The resulting model was shown to accurately capture both global and local dynamics. A local model was created that consisted of a foundation stiffness matrix, representing the local hull and grillage, and beam representations of the towers. These models were used to compare the dynamic behaviour of the towers between the two modelling approaches. In addition a reduced-order CFD method was developed to estimate the vibration amplitudes of the towers subjected to flow-induced vibrations. The method utilizes forced vibration CFD and is based on the principle of energy balance.
Structural analyses showed that the jack-up dynamics can significantly influence the dynamic behaviour of the tower group. This happens when the natural frequencies of the jack-up and the towers are sufficiently close, which is a relatively wide range. This interaction changes the shapes and frequencies of the tower-bending modes. Furthermore, it reduces the tower response. In addition, a global model introduces a significantly lower dynamic stiffness at the tower bases resulting in a different base response compared to a local model. A global model also show increased coupling between the towers and a larger sensitivity to the forcing direction. These effects are not captured by a local hull and grillage model.
The proposed CFD method was successfully implemented and demonstrated for a single vibration mode. Although the predictions are uncertain due to limitations in the simplified CFD model, it is shown that the energy-balance-based approach can, in principle, be applied to a group of offshore wind turbine towers.
It is concluded that a local tower model is only suitable when the global jack-up modes do not interfere with the tower-bending modes. When this interaction occurs, a global model is needed to accurately capture the dynamics of the tower group. ...
This thesis investigates how the dynamic response of the tower group on board the jack-up vessel differs between a global jack-up model and local hull and grillage model. A computationally efficient finite element model of the jack-up-tower system was developed. This was achieved by combining a Craig-Bampton reduced hull model with beam representations of the legs and towers. The resulting model was shown to accurately capture both global and local dynamics. A local model was created that consisted of a foundation stiffness matrix, representing the local hull and grillage, and beam representations of the towers. These models were used to compare the dynamic behaviour of the towers between the two modelling approaches. In addition a reduced-order CFD method was developed to estimate the vibration amplitudes of the towers subjected to flow-induced vibrations. The method utilizes forced vibration CFD and is based on the principle of energy balance.
Structural analyses showed that the jack-up dynamics can significantly influence the dynamic behaviour of the tower group. This happens when the natural frequencies of the jack-up and the towers are sufficiently close, which is a relatively wide range. This interaction changes the shapes and frequencies of the tower-bending modes. Furthermore, it reduces the tower response. In addition, a global model introduces a significantly lower dynamic stiffness at the tower bases resulting in a different base response compared to a local model. A global model also show increased coupling between the towers and a larger sensitivity to the forcing direction. These effects are not captured by a local hull and grillage model.
The proposed CFD method was successfully implemented and demonstrated for a single vibration mode. Although the predictions are uncertain due to limitations in the simplified CFD model, it is shown that the energy-balance-based approach can, in principle, be applied to a group of offshore wind turbine towers.
It is concluded that a local tower model is only suitable when the global jack-up modes do not interfere with the tower-bending modes. When this interaction occurs, a global model is needed to accurately capture the dynamics of the tower group.
Deep Learning for X Band Radar Significant Wave Height Estimation
Neural Nets at Sea: Safer Decisions Ahead
Several methods are already used to estimate or describe offshore wave conditions, but each has shortcomings when considered against the needs of real-time vessel operations. Numerical wave models provide useful regional context, although their resolution is too coarse to capture the local conditions
around a single vessel. Satellite altimetry can support large-scale sea-state observation, but revisit times are too long for workability decisions made from hour to hour. Buoys provide direct measurements, but only at fixed locations, while onboard physics-based radar methods depend on processing assumptions
that may break down in the same conditions where reliable estimates are most needed. None of these sources fully provides a local, real-time, and sufficiently accurate estimate at vessel scale.
This thesis examines whether deep learning can narrow that gap by estimating 𝐻𝑠 directly from operational vessel data. The dataset combines X-band radar imagery, six-degree-of-freedom vessel motion measurements, and reference 𝐻𝑠 values from open-source wave buoys and ERA5 reanalysis, drawn from three operational vessels over several years. A Vision Transformer backbone is applied to preprocessed radar images, with optional vessel-motion fusion. In the sequence variant, the model is given a short series of consecutive radar images rather than a single image, allowing it to use temporal information in the sea surface pattern. Eight model variants are trained across a four-axis ablation covering preprocessing route, backbone initialisation, motion inclusion, and single-image versus sequence-based input.
On the development vessel, the best model comfortably reaches an RMSE lower than the set target under normal wind across the operationally relevant 𝐻𝑠 ≤3 m range, with little systematic bias. The strongest within-vessel configuration is the radar-only sequence model. Adding vessel motion does not consistently improve the estimate and, in the tested configuration, tends to introduce a positive offset at low sea states. For use on the same vessel, the radar-only sequence variant is therefore the preferred model.
Cross-vessel transfer remains the main unresolved part of the problem. Blindly applying successful models from one vessel to another does not meet the operational target, although the reasons are partly identifiable. In one direction, performance is mainly limited by the available sea-state coverage, while in the other it is dominated by a vessel-specific calibration offset. Low wind is the most consistent within-vessel failure mode, which is consistent with the weaker radar wave signature expected under reduced Bragg scattering. Overall, the thesis shows that deep learning can provide vessel-scale 𝐻𝑠 estimates from X-band radar imagery with accuracy well below the defined operational target, while also showing that reliable use across vessels requires either vessel-specific adaptation or broader multi-vessel training data. ...
Several methods are already used to estimate or describe offshore wave conditions, but each has shortcomings when considered against the needs of real-time vessel operations. Numerical wave models provide useful regional context, although their resolution is too coarse to capture the local conditions
around a single vessel. Satellite altimetry can support large-scale sea-state observation, but revisit times are too long for workability decisions made from hour to hour. Buoys provide direct measurements, but only at fixed locations, while onboard physics-based radar methods depend on processing assumptions
that may break down in the same conditions where reliable estimates are most needed. None of these sources fully provides a local, real-time, and sufficiently accurate estimate at vessel scale.
This thesis examines whether deep learning can narrow that gap by estimating 𝐻𝑠 directly from operational vessel data. The dataset combines X-band radar imagery, six-degree-of-freedom vessel motion measurements, and reference 𝐻𝑠 values from open-source wave buoys and ERA5 reanalysis, drawn from three operational vessels over several years. A Vision Transformer backbone is applied to preprocessed radar images, with optional vessel-motion fusion. In the sequence variant, the model is given a short series of consecutive radar images rather than a single image, allowing it to use temporal information in the sea surface pattern. Eight model variants are trained across a four-axis ablation covering preprocessing route, backbone initialisation, motion inclusion, and single-image versus sequence-based input.
On the development vessel, the best model comfortably reaches an RMSE lower than the set target under normal wind across the operationally relevant 𝐻𝑠 ≤3 m range, with little systematic bias. The strongest within-vessel configuration is the radar-only sequence model. Adding vessel motion does not consistently improve the estimate and, in the tested configuration, tends to introduce a positive offset at low sea states. For use on the same vessel, the radar-only sequence variant is therefore the preferred model.
Cross-vessel transfer remains the main unresolved part of the problem. Blindly applying successful models from one vessel to another does not meet the operational target, although the reasons are partly identifiable. In one direction, performance is mainly limited by the available sea-state coverage, while in the other it is dominated by a vessel-specific calibration offset. Low wind is the most consistent within-vessel failure mode, which is consistent with the weaker radar wave signature expected under reduced Bragg scattering. Overall, the thesis shows that deep learning can provide vessel-scale 𝐻𝑠 estimates from X-band radar imagery with accuracy well below the defined operational target, while also showing that reliable use across vessels requires either vessel-specific adaptation or broader multi-vessel training data.
Evaluating the Efficacy of Vibration-Control in Reducing Fatigue Damage in Steel Bridges
A numerical investigation into dynamic mitigation strategies for slender orthotropic highway decks
A multi-scale numerical investigation was conducted utilising a finite element model based on the steel arch Bridge Roosteren as a reference structure. The transient structural dynamic response was simulated for a single passage of a moving load, corresponding to the Eurocode 1 lorry silhouette A, along the most critical path. From this passage, the fatigue damage was systematically quantified at three primary connections (Rib-to-Deck, Rib-to-Crossbeam, and Deck-to-Crossbeam) using the hot spot stress method, rainflow-counting algorithms, Miner's linear cumulative damage rule, and Eurocode 3 S-N curves.
The integration of parametrically tested passive tuned mass dampers did not result in an overall extension of the structure's global fatigue life. Whilst secondary connections, such as the Deck-to-Crossbeam detail, demonstrated a localised fatigue life extension, the governing Rib-to-Deck connection experienced a fatigue damage increase across all evaluated configurations. A unique geometric alignment was induced by the relationship between the reference structure and the considered vehicle. Specifically, the relation of the 4.5 m longitudinal vehicle axle spacing to the 2.424 m transverse crossbeam spacing induced substantial secondary bending moments. This alignment, coupled with the inherent stiffness of the finite element model, limited the dynamic mitigation potential of the tuned mass dampers. Furthermore, the spatial arrangement of the tuned mass dampers, which primarily targeted global dynamic behaviour, was deemed ineffective because the governing fatigue-critical details are mostly driven by high-frequency excitations rather than low-frequency global bending. Consequently, the tuned mass dampers did not induce a significant reduction in the stress ranges at all details, thereby failing to yield a notable improvement in the overall fatigue life.
Although the study did not yield an overall extension of the fatigue life, the findings indicate the potential viability of dynamic retrofitting strategies. To further define this potential, future research should explore the application of semi-active vibration-control devices to capture a broader bandwidth of traffic-induced vibrations. Alternatively, investigations should target localised high-frequency responses by attaching smaller tuned mass dampers directly to the stiffening ribs rather than the crossbeams. These studies should include influential dynamic factors such as stochastic traffic modelling and vehicle-bridge interaction, explicitly accounting for vehicle inertia, suspension mechanics, and road surface roughness. Until effective dynamic retrofitting strategies are fully validated, static stiffening should continue to be prioritised.
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A multi-scale numerical investigation was conducted utilising a finite element model based on the steel arch Bridge Roosteren as a reference structure. The transient structural dynamic response was simulated for a single passage of a moving load, corresponding to the Eurocode 1 lorry silhouette A, along the most critical path. From this passage, the fatigue damage was systematically quantified at three primary connections (Rib-to-Deck, Rib-to-Crossbeam, and Deck-to-Crossbeam) using the hot spot stress method, rainflow-counting algorithms, Miner's linear cumulative damage rule, and Eurocode 3 S-N curves.
The integration of parametrically tested passive tuned mass dampers did not result in an overall extension of the structure's global fatigue life. Whilst secondary connections, such as the Deck-to-Crossbeam detail, demonstrated a localised fatigue life extension, the governing Rib-to-Deck connection experienced a fatigue damage increase across all evaluated configurations. A unique geometric alignment was induced by the relationship between the reference structure and the considered vehicle. Specifically, the relation of the 4.5 m longitudinal vehicle axle spacing to the 2.424 m transverse crossbeam spacing induced substantial secondary bending moments. This alignment, coupled with the inherent stiffness of the finite element model, limited the dynamic mitigation potential of the tuned mass dampers. Furthermore, the spatial arrangement of the tuned mass dampers, which primarily targeted global dynamic behaviour, was deemed ineffective because the governing fatigue-critical details are mostly driven by high-frequency excitations rather than low-frequency global bending. Consequently, the tuned mass dampers did not induce a significant reduction in the stress ranges at all details, thereby failing to yield a notable improvement in the overall fatigue life.
Although the study did not yield an overall extension of the fatigue life, the findings indicate the potential viability of dynamic retrofitting strategies. To further define this potential, future research should explore the application of semi-active vibration-control devices to capture a broader bandwidth of traffic-induced vibrations. Alternatively, investigations should target localised high-frequency responses by attaching smaller tuned mass dampers directly to the stiffening ribs rather than the crossbeams. These studies should include influential dynamic factors such as stochastic traffic modelling and vehicle-bridge interaction, explicitly accounting for vehicle inertia, suspension mechanics, and road surface roughness. Until effective dynamic retrofitting strategies are fully validated, static stiffening should continue to be prioritised.
Vehicle-Structure Interaction in a Hyperloop System
Semi-Analytical Analysis of a Shell on Periodic Supports
The guideway is modelled as a thin-walled cylindrical shell with discrete supports, while the vehicle is represented as a moving mass suspended through a non-contact electromagnetic force governed by a proportional–derivative control system. This setup enables more physically representative modelling by incorporating discrete support spacing and allowing for the inclusion of circumferential pre-stress from the vacuum environment, a feature intrinsic to Hyperloop systems.
Two themes are central to the study. The first concerns the steady-state response of the shell under a constant moving load, which isolates the structural behaviour of the guideway. Using a semi-analytical approach, the governing equations are projected onto circumferential modes, transformed into the frequency–wavenumber domain, and solved with a periodicity condition to reconstruct the steady-state response. This analysis shows that periodic supports strongly modify wave propagation, leading to multiple resonance peaks, including in ranges where operational velocities may lie. As a result, simplified continuous models risk overestimating safe operating speeds and overlooking significant amplifications. The results also demonstrate how geometric and damping parameters affect the critical velocity, offering practical strategies for vibration reduction. Furthermore, the inclusion of circumferential pre-stress is shown to be essential, since vacuum-induced compression reduces the effective stiffness of the shell and shifts the system closer to resonance conditions.
The second theme addresses the stability of the coupled vehicle–structure system, where two distinct instability mechanisms are considered: wave-induced instability from anomalous Doppler waves, and electromagnetic instability from the suspension control system. The periodicity of the support structure enables the potential manifestation of wave-induced instability in the form of parametric instability, which is absent in continuously supported models. The analysis is carried out using a semi-analytical approach that combines Floquet theory, Fourier expansion, and harmonic balance to reformulate the problem as an eigenvalue analysis, from which stability boundaries are identified. The findings highlight the need for careful controller design at operational speeds, with periodicity shown to play a role in shaping instability zones.
Overall, this research demonstrates the importance of accounting for both shell behaviour and support periodicity when assessing the dynamic performance and stability of Hyperloop systems. In doing so, it advances the understanding of Hyperloop dynamics and provides a foundation for future research and the further development of this emerging mode of transportation. ...
The guideway is modelled as a thin-walled cylindrical shell with discrete supports, while the vehicle is represented as a moving mass suspended through a non-contact electromagnetic force governed by a proportional–derivative control system. This setup enables more physically representative modelling by incorporating discrete support spacing and allowing for the inclusion of circumferential pre-stress from the vacuum environment, a feature intrinsic to Hyperloop systems.
Two themes are central to the study. The first concerns the steady-state response of the shell under a constant moving load, which isolates the structural behaviour of the guideway. Using a semi-analytical approach, the governing equations are projected onto circumferential modes, transformed into the frequency–wavenumber domain, and solved with a periodicity condition to reconstruct the steady-state response. This analysis shows that periodic supports strongly modify wave propagation, leading to multiple resonance peaks, including in ranges where operational velocities may lie. As a result, simplified continuous models risk overestimating safe operating speeds and overlooking significant amplifications. The results also demonstrate how geometric and damping parameters affect the critical velocity, offering practical strategies for vibration reduction. Furthermore, the inclusion of circumferential pre-stress is shown to be essential, since vacuum-induced compression reduces the effective stiffness of the shell and shifts the system closer to resonance conditions.
The second theme addresses the stability of the coupled vehicle–structure system, where two distinct instability mechanisms are considered: wave-induced instability from anomalous Doppler waves, and electromagnetic instability from the suspension control system. The periodicity of the support structure enables the potential manifestation of wave-induced instability in the form of parametric instability, which is absent in continuously supported models. The analysis is carried out using a semi-analytical approach that combines Floquet theory, Fourier expansion, and harmonic balance to reformulate the problem as an eigenvalue analysis, from which stability boundaries are identified. The findings highlight the need for careful controller design at operational speeds, with periodicity shown to play a role in shaping instability zones.
Overall, this research demonstrates the importance of accounting for both shell behaviour and support periodicity when assessing the dynamic performance and stability of Hyperloop systems. In doing so, it advances the understanding of Hyperloop dynamics and provides a foundation for future research and the further development of this emerging mode of transportation.
Operability of Offshore Wind Turbine Blade Installation with a Semi-Submersible Crane Vessel
Numerical Modelling and Dynamic Analysis of Relative Motion Between Blade Root and Hub During Single Blade Installation
A numerical model was developed in OrcaFlex to simulate the relative dynamic behaviour between the hub of a bottom-fixed 15 MW OWT and the root of a suspended blade on an SSCV, during the alignment phase of the blade installation. The analysis focuses on the Thialf, an SSCV from the Heerema Marine Contractors fleet.
The relative motions of the OWT hub and blade root were assessed through modal and time domain analyses under environmental conditions representative of a Baltic Sea site. Results show that wave induced motions dominate the system’s dynamic response. Hub motions were strongly amplified when wave peak periods approached the natural frequency of the turbine, while blade root dynamics were governed primarily by vessel motion and the coupling between vessel response and the pendulum behaviour of the suspended blade.
Sensitivity analyses demonstrated that operational parameters, including vessel draught, suspension length, and tugger configuration, significantly affect the system’s dynamic behaviour.
Operability was evaluated using limiting criteria consisting of a maximum displacement threshold and a maximum outcrossing frequency. The analysis revealed that operability is restricted under conditions of hub resonance, vessel resonance, or coupling between the vessel and the pendulum behaviour of the suspended blade, and that the choice of limiting criteria strongly influences the overall operability.
SSCVs can perform comparably to jack-up vessels in moderate sea states, where vessel motions remain limited. In more demanding conditions, however, amplified dynamics and resonant responses may induce excessive motions that render the installation inoperable. The applicability of SSCVs for OWT installation must therefore be evaluated with respect to both site specific environmental conditions and the operational configuration. With careful tuning of the installation setup, SSCVs can provide a viable alternative under favourable conditions. ...
A numerical model was developed in OrcaFlex to simulate the relative dynamic behaviour between the hub of a bottom-fixed 15 MW OWT and the root of a suspended blade on an SSCV, during the alignment phase of the blade installation. The analysis focuses on the Thialf, an SSCV from the Heerema Marine Contractors fleet.
The relative motions of the OWT hub and blade root were assessed through modal and time domain analyses under environmental conditions representative of a Baltic Sea site. Results show that wave induced motions dominate the system’s dynamic response. Hub motions were strongly amplified when wave peak periods approached the natural frequency of the turbine, while blade root dynamics were governed primarily by vessel motion and the coupling between vessel response and the pendulum behaviour of the suspended blade.
Sensitivity analyses demonstrated that operational parameters, including vessel draught, suspension length, and tugger configuration, significantly affect the system’s dynamic behaviour.
Operability was evaluated using limiting criteria consisting of a maximum displacement threshold and a maximum outcrossing frequency. The analysis revealed that operability is restricted under conditions of hub resonance, vessel resonance, or coupling between the vessel and the pendulum behaviour of the suspended blade, and that the choice of limiting criteria strongly influences the overall operability.
SSCVs can perform comparably to jack-up vessels in moderate sea states, where vessel motions remain limited. In more demanding conditions, however, amplified dynamics and resonant responses may induce excessive motions that render the installation inoperable. The applicability of SSCVs for OWT installation must therefore be evaluated with respect to both site specific environmental conditions and the operational configuration. With careful tuning of the installation setup, SSCVs can provide a viable alternative under favourable conditions.
Nonlinear dynamic system identification in vibratory pile driving
An attempt in understanding pile-soil interaction from vibratory driving tests
These methods have potential to help uncover physical models for soil-pile interaction.
To test these methods , the research first applies them to well-known benchmark systems—simple mechanical models with known nonlinear behaviours. This ensures that the identification techniques work correctly before applying them to real pile-driving experiments.
The experimental data comes from lab-scale vibratory pile-driving tests using strain gauges and accelerometers. The study analyses how forces acting on the pile change over time, focusing on both the tip and shaft resistance. Various mathematical models are tested to see which best captures the nonlinear behaviour. ...
These methods have potential to help uncover physical models for soil-pile interaction.
To test these methods , the research first applies them to well-known benchmark systems—simple mechanical models with known nonlinear behaviours. This ensures that the identification techniques work correctly before applying them to real pile-driving experiments.
The experimental data comes from lab-scale vibratory pile-driving tests using strain gauges and accelerometers. The study analyses how forces acting on the pile change over time, focusing on both the tip and shaft resistance. Various mathematical models are tested to see which best captures the nonlinear behaviour.
The research question is answered by performing an experimental test and a CFD analysis. The experimental tests include the dynamics of the system while testing various configurations and is validated by an analytical integration in time and a CFD simulation at model scale. The CFD analysis takes away the uncertainties and unknowns: the drag force, the yawing moment and the fluctuation magnitudes and frequencies. The CFD analysis is performed using the open-source software OpenFOAM and simulates multiple configurations. The results of the simulations are compared to the restoring moment by the guidance wires, by transforming the excitation moments into static and dynamic responses of the system. The CFD model is validated by testing the model with a 2D cylinder and 3D sphere, and by performing a mesh convergence study. The CFD simulations are validated by literature. With the obtained drag forces, the energy consumption is calculated.
From the results, it can be concluded that the system can stably be transported at 2 m/s, as the static and dynamic responses are well within the safety limits. The largest response occurs in the middle of the water column, as the rotational stiffness is the smallest at that location. The dynamic response is smaller compared to the static response, as the high frequent fluctuations (f > 0.075 Hz) are damped. Rope entanglement will not occur during normal operation at 2 m/s. However, critical situations due to incidental events can arise, including a winch failure, friction or a sudden high current. This has not been evaluated in this research and therefore stability cannot be guaranteed. As lowering at 3 m/s with an inclined system and including the current results in a static maximum yawing rotation larger than the safety limit, the stability cannot be guaranteed for operating at 3 m/s. ...
The research question is answered by performing an experimental test and a CFD analysis. The experimental tests include the dynamics of the system while testing various configurations and is validated by an analytical integration in time and a CFD simulation at model scale. The CFD analysis takes away the uncertainties and unknowns: the drag force, the yawing moment and the fluctuation magnitudes and frequencies. The CFD analysis is performed using the open-source software OpenFOAM and simulates multiple configurations. The results of the simulations are compared to the restoring moment by the guidance wires, by transforming the excitation moments into static and dynamic responses of the system. The CFD model is validated by testing the model with a 2D cylinder and 3D sphere, and by performing a mesh convergence study. The CFD simulations are validated by literature. With the obtained drag forces, the energy consumption is calculated.
From the results, it can be concluded that the system can stably be transported at 2 m/s, as the static and dynamic responses are well within the safety limits. The largest response occurs in the middle of the water column, as the rotational stiffness is the smallest at that location. The dynamic response is smaller compared to the static response, as the high frequent fluctuations (f > 0.075 Hz) are damped. Rope entanglement will not occur during normal operation at 2 m/s. However, critical situations due to incidental events can arise, including a winch failure, friction or a sudden high current. This has not been evaluated in this research and therefore stability cannot be guaranteed. As lowering at 3 m/s with an inclined system and including the current results in a static maximum yawing rotation larger than the safety limit, the stability cannot be guaranteed for operating at 3 m/s.
Such encounters are currently primarily understood phenomenologically, and the associated models simulating these encounters – or ice-structure interactions – therefore are phenomenological as well. Moreover, most ice-structure interaction models are fundamentally one-dimensional, whereas ice-structure interactions are generally not one-dimensional. This mismatch holds especially for ice-structure interactions with offshore wind turbines, where wind loads are generally misaligned with ice loads causing highly two-dimensional ice-structure interaction problems. Therefore, the first half of this work sets out to extend one of the industry-leading phenomenological one-dimensional models – the Hendrikse (2017) model – to a two-dimensional environment. The ultimately developed Zero-friction contact Area variation Model By Omnidirectional Numerical Ice (ZAMBONI) attempts to do so by introducing practical extensions rather than introducing new assumptions. Nevertheless, one extension does entail a shift from current one-dimensional ice-structure interaction models. Namely, the assumption that ice experiences neither friction at the ice-structure interface nor internal shear forces. Consequently, much of the correctness of this model hinges on this extension. To assert the correctness of ZAMBONI. A comprehensive verification campaign is performed as well as a simple order-of-magnitude validation campaign. Although both confirm the extensions' correctness, further validation is required, especially concerning the zero-friction principle. Upon developing and discussing this two-dimensional ice-structure interaction model, the second half of this work couples ZAMBONI to an offshore wind turbine model to gain further insight into ice-structure interactions. These dynamically coupled two-dimensional simulations serve two purposes. Firstly, to compare one- and two-dimensionally simulated load cases of aligned ice and wind. Secondly, to perform newly simulable load cases of misaligned ice and wind. Four primary findings are discussed. Firstly, as hypothesized, introducing a disturbing wind load lowers the ice-structure contact area, causing smaller loads and displacements due to ice loads. This effect is especially well observable for misaligned wind loads and low far-field ice velocities. Secondly, a new ice-structure interaction regime is observed where ice and structure synchronize in the structure's first bending mode. This synchronization occurs most dominantly for two-dimensional ice. Thirdly, frequency lock-in occurs solely in the second bending mode and is terminated at lower ice indentation speeds for two-dimensional than for one-dimensional ice. Finally, small ice-wind misalignments, which are most common, appear highly similar to load cases of fully aligned ice and wind. ...
Such encounters are currently primarily understood phenomenologically, and the associated models simulating these encounters – or ice-structure interactions – therefore are phenomenological as well. Moreover, most ice-structure interaction models are fundamentally one-dimensional, whereas ice-structure interactions are generally not one-dimensional. This mismatch holds especially for ice-structure interactions with offshore wind turbines, where wind loads are generally misaligned with ice loads causing highly two-dimensional ice-structure interaction problems. Therefore, the first half of this work sets out to extend one of the industry-leading phenomenological one-dimensional models – the Hendrikse (2017) model – to a two-dimensional environment. The ultimately developed Zero-friction contact Area variation Model By Omnidirectional Numerical Ice (ZAMBONI) attempts to do so by introducing practical extensions rather than introducing new assumptions. Nevertheless, one extension does entail a shift from current one-dimensional ice-structure interaction models. Namely, the assumption that ice experiences neither friction at the ice-structure interface nor internal shear forces. Consequently, much of the correctness of this model hinges on this extension. To assert the correctness of ZAMBONI. A comprehensive verification campaign is performed as well as a simple order-of-magnitude validation campaign. Although both confirm the extensions' correctness, further validation is required, especially concerning the zero-friction principle. Upon developing and discussing this two-dimensional ice-structure interaction model, the second half of this work couples ZAMBONI to an offshore wind turbine model to gain further insight into ice-structure interactions. These dynamically coupled two-dimensional simulations serve two purposes. Firstly, to compare one- and two-dimensionally simulated load cases of aligned ice and wind. Secondly, to perform newly simulable load cases of misaligned ice and wind. Four primary findings are discussed. Firstly, as hypothesized, introducing a disturbing wind load lowers the ice-structure contact area, causing smaller loads and displacements due to ice loads. This effect is especially well observable for misaligned wind loads and low far-field ice velocities. Secondly, a new ice-structure interaction regime is observed where ice and structure synchronize in the structure's first bending mode. This synchronization occurs most dominantly for two-dimensional ice. Thirdly, frequency lock-in occurs solely in the second bending mode and is terminated at lower ice indentation speeds for two-dimensional than for one-dimensional ice. Finally, small ice-wind misalignments, which are most common, appear highly similar to load cases of fully aligned ice and wind.
An analysis of a deep-sea mining nodule mining system
Vertical transportation by means of mechanical lifting
Delft University of Technology is developing a new floating WEC concept called the ”gyroscopic-pendulum”. This concept is a modification of the so called ”classical vertical axis pendulum”, which is capable of producing mechanical power harvested from the rotations of the pendulum around the vertical axis.
The new concept is proposed by adding a flywheel with the aim to enhance the rotations of the pendulum about the vertical axis. The enhancement comes from gyroscopic precession which is created due to a change in the angular moment of the spinning flywheel caused by the torque originating from the weight of the pendulum.
This thesis starts with a general introduction about wave power followed by the mathematical and numerical model of the gyroscopic-pendulum. Numerical simulations are performed in which the gyroscopic-pendulum and the classical pendulum are both imposed with the same harmonic roll motion, while the gyroscopic-pendulum system also receives some power input to rotate the disk. The main objective is to find out in which ranges of amplitude and frequency of imposed motions, the gyroscopic-pendulum results in an improvement of the power efficiency compared to the classical vertical axis pendulum.
The results obtained from tests performed in the simulated conditions, shows us that the gyroscopic-pendulum has a significantly higher efficiency compared to the classical vertical axis pendulum when the frequency of the imposed roll motion is in the range of 1.4 to 1.75 rad/s and the amplitude is in the range of 0.6 to 0.95 푚. ...
Delft University of Technology is developing a new floating WEC concept called the ”gyroscopic-pendulum”. This concept is a modification of the so called ”classical vertical axis pendulum”, which is capable of producing mechanical power harvested from the rotations of the pendulum around the vertical axis.
The new concept is proposed by adding a flywheel with the aim to enhance the rotations of the pendulum about the vertical axis. The enhancement comes from gyroscopic precession which is created due to a change in the angular moment of the spinning flywheel caused by the torque originating from the weight of the pendulum.
This thesis starts with a general introduction about wave power followed by the mathematical and numerical model of the gyroscopic-pendulum. Numerical simulations are performed in which the gyroscopic-pendulum and the classical pendulum are both imposed with the same harmonic roll motion, while the gyroscopic-pendulum system also receives some power input to rotate the disk. The main objective is to find out in which ranges of amplitude and frequency of imposed motions, the gyroscopic-pendulum results in an improvement of the power efficiency compared to the classical vertical axis pendulum.
The results obtained from tests performed in the simulated conditions, shows us that the gyroscopic-pendulum has a significantly higher efficiency compared to the classical vertical axis pendulum when the frequency of the imposed roll motion is in the range of 1.4 to 1.75 rad/s and the amplitude is in the range of 0.6 to 0.95 푚.
Work-ability increase
Using tugger control
Combined Earthquake & Wave action on Offshore Wind Turbine Monopile Foundation
A numerical investigation of the contribution of hydrodynamic and soil radiation damping to the response of the structure
Dynamic FEM assessment of sagbend
Improved methodology for the dynamic FEM assessment
The objective of the present thesis is the development of a 1D finite element model, that allows for a dynamic analysis of an offshore wind turbine under the combined actions of wind and wave or wind and ice. For this purpose, different models have been combined and improved or extended. Through this model the importance of accounting for non-linear and breaking waves, the effect of the kinematic stretching on the response and the manner in which the misalignment of the load affects the response can be investigated.
A detailed design of the NREL-5MW offshore wind turbine supported by a monopile is subjected to wind, wave and ice action. The aerodynamic action is evaluated through a model valid for the above rated regime when pitch control is active, using a turbulent wind signal resulting from the Kaimal spectrum. The hydrodynamic action is calculated either with the Morison equation or the MacCamy and Fuchs equation with the use of either linear or nonlinear water particle kinematics. An approach towards the calculation of the load from a breaking wave is considered accounting for the wave skewness and asymmetry during such an event. The ice action is calculated through a model that evaluates the force while in the crushing regime. The soil is represented with linear soil springs.
The structure’s response is investigated for all the loads separately at first. The next step is the combined analysis. Aligned and misaligned cases are considered. Results show that wind load is dominating the response in the aligned and misaligned wind and wave case regardless of the method used to calculate the hydrodynamic load in the case of a small wave height. In the case of a larger wave height, using Stokes theory and the Morison equation, the hydrodynamic load is contributing to the resulting response. Concerning the ice loading, the intermittent crushing and the continuous brittle crushing regimes occur for the turbine. The response to the combined wind and ice action appears to be affected by both loads in all examined cases.
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The objective of the present thesis is the development of a 1D finite element model, that allows for a dynamic analysis of an offshore wind turbine under the combined actions of wind and wave or wind and ice. For this purpose, different models have been combined and improved or extended. Through this model the importance of accounting for non-linear and breaking waves, the effect of the kinematic stretching on the response and the manner in which the misalignment of the load affects the response can be investigated.
A detailed design of the NREL-5MW offshore wind turbine supported by a monopile is subjected to wind, wave and ice action. The aerodynamic action is evaluated through a model valid for the above rated regime when pitch control is active, using a turbulent wind signal resulting from the Kaimal spectrum. The hydrodynamic action is calculated either with the Morison equation or the MacCamy and Fuchs equation with the use of either linear or nonlinear water particle kinematics. An approach towards the calculation of the load from a breaking wave is considered accounting for the wave skewness and asymmetry during such an event. The ice action is calculated through a model that evaluates the force while in the crushing regime. The soil is represented with linear soil springs.
The structure’s response is investigated for all the loads separately at first. The next step is the combined analysis. Aligned and misaligned cases are considered. Results show that wind load is dominating the response in the aligned and misaligned wind and wave case regardless of the method used to calculate the hydrodynamic load in the case of a small wave height. In the case of a larger wave height, using Stokes theory and the Morison equation, the hydrodynamic load is contributing to the resulting response. Concerning the ice loading, the intermittent crushing and the continuous brittle crushing regimes occur for the turbine. The response to the combined wind and ice action appears to be affected by both loads in all examined cases.