Searched for: subject:"probabilistic%5C+models"
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van den Bos, N. (author)
The field of prognostics on composites is relatively young, and research is focused on constant amplitude fatigue (CAF) loading, whereas variable amplitude fatigue (VAF) loading is more common in actual use-cases. Therefore in this research, the feasibility of different in-situ, data-driven probabilistic models is studied for prognostics on...
master thesis 2020
document
Sinke, Joël (author)
During the design phase of a foundation installation aspects are easily overlooked. When this aspect is overlooked a foundation element risks not reaching its design depth or getting damaged during the installation process. As a result significant delays and/or costs could occur. A driveability study gives insight in the installation aspects of...
master thesis 2020
document
Zhang, Zixin (author)
This study aims to explore the possibility of employing remote sensing images to build a probabilistic flood extent forecasting model. This model is constructed and tested in two study areas: New Orleans and Miami. Images that recorded flooding events are first performed with segmentation method Seed Region Growing, and segmented images are...
master thesis 2020
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Paprotny, D. (author), Morales Napoles, O. (author), Worm, Daniël T.H. (author), Ragno, E. (author)
Bayesian Networks (BNs) are probabilistic, graphical models for representing complex dependency structures. They have many applications in science and engineering. Their particularly powerful variant – Non-Parametric BNs – are for the first time implemented as an open-access scriptable code, in the form of a MATLAB toolbox “BANSHEE”.<sup>1<...
journal article 2020
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Oosterlo, P. (author), McCall, R.T. (author), Vuik, V. (author), Hofland, B. (author), van der Meer, J.W. (author), Jonkman, Sebastiaan N. (author)
Shallow foreshores in front of coastal dikes can reduce the probability of dike failure due to wave overtopping. A probabilistic model framework is presented, which is capable of including complex hydrodynamics like infragravity waves, and morphological changes of a sandy foreshore during severe storms in the calculations of the probability of...
journal article 2018
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Xu, L. (author), Zhai, Wan Ming (author)
To efficiently select track irregularity random samples for satisfying the ergodicity requirements of excitation sources in stochastic dynamics and reliability analysis in vehicle-track system, the weak-stationarity and similarity spectral of track irregularities were introduced to propose a track irregularity probabilistic model. Using the...
journal article 2018
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van Bekkum, Rob (author)
Decision-theoretic planning techniques are increasingly being used to obtain (optimal) plans for domains involving uncertainty, which may be present in the form of the controlling agent's actions, its percepts, or exogenous factors in the domain. These techniques build on detailed probabilistic models of the underlying system, for which Markov...
master thesis 2017
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Farah, H. (author), Azevedo, Carlos Lima (author)
The increased availability of detailed trajectory data sets from naturalistic, observational, and simulation-based studies, is a key source for potential improvements in the development of detailed safety models that explicitly account for vehicle conflict interactions and various driving maneuvers. Despite the well-recognized research...
journal article 2017
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Suh Heo, H.Y. (author)
Various flood protection measures are studied across the globe, and nature-friendly and environmentally resilient methods are gaining more attention. As part of the building with nature initiative, the project BE SAFE (Bio-Engineering for SAFEty) studies the effects of a vegetated foreshore as a flood protection measure which is found to be very...
master thesis 2016
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Verstegen, E. (author)
Conventional hydrological models use a deterministic approach. One could think of it like a black box, having an input, parameters, relations and an output. The parameters are calibrated by comparing the model output with observations of the system response (for example river runoff). When assessing the uncertainty in models the focus is often...
master thesis 2016
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Huibregtse, E. (author), Morales Napoles, O. (author), Hellebrandt, L. (author), Paprotny, D. (author), De Wit, S. (author)
This paper presents a risk-based method to quantify climate change effects on road infrastructure, as a support for decision-making on interventions. This can be implemented in climate adaptation plans as an element of asset management. The method is illustrated by a specific case in which traffic on a road network is disrupted by the flooding...
journal article 2016
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Ciftcioglu, O. (author), Bittermann, M.S. (author), Datta, R (author)
A robust probabilistic constraint handling approach in the framework of joint evolutionary-classical optimization has been presented earlier. In this work, the<br/>theoretical foundations of the method are presented in detail. The method is known as bi-objective method, where the conventional penalty function approach is implemented. The present...
conference paper 2016
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Bittermann, M.S. (author), Ciftcioglu, O. (author)
Demonstrative results of a probabilistic constraint handling approach that is exclusively using evolutionary computation are presented. In contrast to other works involving the same probabilistic considerations, in this study local search has been omitted, in order to assess the necessity of this deterministic local search procedure in...
conference paper 2016
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van Riel, W. (author), Post, J.A.B. (author), Langeveld, J.G. (author), Herder, P.M. (author), Clemens, F.H.L.R. (author)
Operational decision-making processes for networked infrastructure management often occur as a multi-actor planning problem, implying these are based on negotiations between different stakeholders in addition to available system quality information. As such, does more accurate data about actual structural condition lead to other or better...
journal article 2016
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Farah, H. (author), Azevedo, C.L. (author)
The increased availability of detailed trajectory data sets from naturalistic, observational and simulation-based studies are a key source for potential improvements in the development of detailed safety models that explicitly account for vehicle conflict interactions and the various driving maneuvers. Despite the well-recognized research...
conference paper 2015
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Calvert, S.C. (author), Taale, H. (author), Hoogendoorn, S.P. (author)
In this contribution the Core Probability Framework (CPF) is introduced with the application of the Discrete-Element Core Probability Model (DE-CPM) as a new DNL for dynamic macroscopic modelling of stochastic traffic flow. The model is demonstrated for validation in a test case and for computational efficiency on two simple networks. The CPF...
conference paper 2014
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Ranasinghe, R.W.M.R.J.B. (author), Callaghan, D. (author), Roelvink, D. (author)
The dependency between the accuracy/uncertainty of storm erosion exceedance estimates obtained via a probabilistic model and the level of sophistication of the structural function (storm erosion model) embedded in the probabilistic model is assessed via the application of Callaghan et al.'s (2008) Joint Probability Model (JPM) at Narrabeen beach...
conference paper 2013
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Pool, A.D. (author)
After a storm surge in November 2007, older storm surge deposits were discovered in the eroded dunes near Heemskerk, the Netherlands. These deposits undulate in height with a maximum elevation of over 6 m above mean sea level. Luminescence dating suggests that the layers were deposited by either the 1775 or the 1776 storm surge. The aim of this...
master thesis 2009
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De Waal, J.P. (author)
There is fragmentation and gaps in the approach to dealing with the required improvements to the wind models. Coordination is required for a balanced and efficient approach. The intended purpose of this document is to be a plan for this coordination. This approach can be embedded in the SBW project at diverse crucial points that require...
report 2007
document
Korving, J.L. (author)
doctoral thesis 2004
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