Searched for: subject%3A%22Uncertainty%255C%2BQuantification%22
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Leontaris, G. (author)
Offshore wind is expected to be one of the important contributors to the energy transition towards a more renewable and sustainable energy future. This can be clearly seen from the amount of investments over the past years as well as from the substantial upcoming offshore wind projects in the years to come. Many technological implementation...
doctoral thesis 2021
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Head, A.J. (author)
The vast number of pioneering theoretical developments inthe area of non-classical gas dynamics together with the rising number ofapplications of organic Rankine cycle (ORC) technology have shaped a new branchof fluid mechanics called non-ideal compressible fluid dynamics (NICFD). Thisfield of fluid mechanics is concerned...
doctoral thesis 2021
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Vello, Riccardo (author)
The objective of this thesis was to further the validation effort on the SU2 flow solver for non-ideal compressible flows. To do so, an uncertainty quantification infrastructure based on the V&V20 validation standard was developed. To determine whether a model error was present, the different sources of uncertainty were combined and then...
master thesis 2021
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Chahine, Ibrahim (author)
System identification is a mature field in physical sciences and an emerging field in social sciences, with a vast range of applications. Nevertheless, it remains of great focus in academia. The main challenge is the efficient use of data to generate good model fits. System identification involves multi-disciplinary techniques from statistical,...
master thesis 2021
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Wang, Y. (author)
Numerical simulation plays an important role for the efficient development of geothermal resources, considering all the uncertain and sensitive parameters that exist within the subsurface and during the operations. This thesis describes the numerical modeling of geothermal developments of various types and in various situations using the newly...
doctoral thesis 2021
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Straathof, Robin (author)
Brachytherapy (BT) is an essential component in the treatment of cervical cancer as it allows for locally delivering a high dose to the tumour with minimal trauma to surrounding tissues and organs at risk (OARs). However, in advanced cervical cancer patients commercially available BT applicators are particularly ill-adapted and therefore result...
master thesis 2021
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Mey, A. (author), Loog, M. (author)
We investigate to which extent one can recover class probabilities within the empirical risk minimization (ERM) paradigm. We extend existing results and emphasize the tight relations between empirical risk minimization and class probability estimation. Following previous literature on excess risk bounds and proper scoring rules, we derive a...
conference paper 2021
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Peng, Tian (author), Nogal Macho, M. (author), Casas, Joan R. (author), Turmo, Jose (author)
The inverse problem of structural system identification is prone to ill‐conditioning issues; thus, uniqueness and stability cannot be guaranteed. This issue tends to amplify the error propagation of both the epistemic and aleatory uncertainties, where aleatory uncertainty is related to the accuracy and the quality of sensors. The analysis of...
journal article 2021
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Hanea, Anca M. (author), Hemming, Victoria (author), Nane, G.F. (author)
Expert elicitation is deployed when data are absent or uninformative and critical decisions must be made. In designing an expert elicitation, most practitioners seek to achieve best practice while balancing practical constraints. The choices made influence the required time and effort investment, the quality of the elicited data, experts’...
journal article 2021
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Santanoceto, M. (author), Tiberga, M. (author), Perko, Z. (author), Dulla, Sandra (author), Lathouwers, D. (author)
In this work, we present the results of a preliminary uncertainty quantification and sensitivity analysis study of the Molten Salt Fast Reactor (MSFR) behavior at steady-state performed by applying a non-intrusive Polynomial Chaos Expansion (PCE) approach. An in-house high-fidelity multi-physics simulation tool is used as reactor reference...
journal article 2021
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Adatrao, S. (author), Bertone, M. (author), Sciacchitano, A. (author)
A novel approach is devised for the quantification of systematic uncertainty due to peak locking in particle image velocimetry (PIV), which also leads to correction of the peak-locking errors. The approach, applicable to statistical flow properties such as time-averaged velocity and Reynolds stresses, relies on image recordings with multiple...
journal article 2021
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Frey, Daniel D. (author), Lin, Yiben (author), Heijnen, P.W. (author)
This paper develops theoretical foundations for extending Gauss-Hermite quadrature to robust design with computer experiments. When the proposed method is applied with m noise variables, the method requires 4m + 1 function evaluations. For situations in which the polynomial response is separable, this paper proves that the method gives exact...
journal article 2021
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Jansson, F.R. (author), Edeling, Wouter (author), Attema, Jisk (author), Crommelin, Daan (author)
In this study, we investigate uncertainties in a large eddy simulation of the atmosphere, employing modern uncertainty quantification methods that have hardly been used yet in this context. When analysing the uncertainty of model results, one can distinguish between uncertainty related to physical parameters whose values are not exactly known...
journal article 2021
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Groen, D. (author), Arabnejad, H. (author), Jancauskas, V. (author), Edeling, W. N. (author), Jansson, F.R. (author), Richardson, R. A. (author), Lakhlili, J. (author), Veen, L. (author), Bosak, B. (author)
We present the VECMA toolkit (VECMAtk), a flexible software environment for single and multiscale simulations that introduces directly applicable and reusable procedures for verification, validation (V&V), sensitivity analysis (SA) and uncertainty quantication (UQ). It enables users to verify key aspects of their applications,...
journal article 2021
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Mészáros, L. (author), van der Meulen, F.H. (author), Jongbloed, G. (author), El Serafy, G.Y.H. (author)
Spring phytoplankton blooms in the southern North Sea substantially contribute to annual primary production and largely influence food web dynamics. Studying long-term changes in spring bloom dynamics is therefore crucial for understanding future climate responses and predicting implications on the marine ecosystem. This paper aims to study...
journal article 2021
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Graas, R. (author), Sun, Junzi (author), Hoekstra, J.M. (author)
Several initiatives are developed to shift the current paradigm in Air Traffic Management from the tactical-based approach to more strategic-based coordination of flights. This transformation of the ATM system relies on the improvement of predictive models for the 4D flight trajectories. A variety of performance-based and data-driven approaches...
conference paper 2021
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Güdük, N. (author), De La Varga, Miguel (author), Kaukolinna, Janne (author), Wellmann, Florian (author)
Structural geological models are widely used to represent relevant geological interfaces and property distributions in the subsurface. Considering the inherent uncertainty of these models, the non-uniqueness of geophysical inverse problems, and the growing availability of data, there is a need for methods that integrate different types of...
journal article 2021
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Igea, Felipe (author), Chatzis, Manolis N. (author), Cicirello, A. (author)
Structural Health Monitoring uses data collected from sensors placed on structures to determine their operating condition and whether maintenance is required. Often, optimal sensor placement strategies are used to find the optimal locations for the identification of their modal properties, structural parameters and/or abnormal behaviours under...
conference paper 2021
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Wang, Z. (author), Almeida, José Humberto S. (author), St-Pierre, Luc (author), Wang, Zhonglai (author), Castro, Saullo G.P. (author)
A reliability-based optimization framework is introduced and used to design filament-wound cylindrical shells with variable angle tow. Seven design cases are investigated to enable a comparison between constant-stiffness and variable angle tow designs, also considering effects of thickness variation created due to overlapping tow paths,...
journal article 2020
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Chuang, Jia Shian (author)
This research aims to develop a method to create a wind farm layout that is robust against the uncertainty source, the inter-year variation of Weibull parameters and wind direction sector probabilities. A wind farm layout optimisation problem under uncertainty corresponds to optimisation under uncertainty (OUU), which is computationally...
master thesis 2020
Searched for: subject%3A%22Uncertainty%255C%2BQuantification%22
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