Searched for: subject%3A%22uncertainty%255C%2Bquantification%22
(1 - 20 of 90)

Pages

document
Baciu, Theodor D. (author), Degenhardt, Richard (author), Franzoni, Felipe (author), Gliszczynski, Adrian (author), Arbelo, Mariano A. (author), Castro, Saullo G.P. (author), Kalnins, Kaspars (author)
The Vibration Correlation Technique (VCT) is a non-destructive method to predict buckling loads for imperfection-sensitive structures. While successfully used to validate numerical models and predict experimental buckling loads, recommendations for defining the VCT experiment are scarce. Here, its sensitivity towards the number of load steps...
journal article 2023
document
de Hoop, S. (author)
Society relies on large amounts of energy to progress and allow for a high standard of living. The recent severe climate changes require advanced technologies related to cleaner energy resources. One such technology beneficial for accelerating this current energy transition is geothermal energy. This type of energy is often found in fractured...
doctoral thesis 2022
document
van den Broek, Erik (author)
High-fidelity models are computationally intensive to work with in many-query applications, such as the design process of small modular reactors. A reduced order model of the high-fidelity model can still accurately determine the quantities of interest with only a fraction of the computational cost, and thus can potentially solve the...
master thesis 2022
document
Lyons, Jeff (author)
In light of worsening climate change and an increased interest in adapting infrastructure to cope with its effects, model-based decision support has become an essential tool for policy makers. In conditions of deep uncertainty, models may be used to explore a large space of possible system behaviours and so encourage a wider consideration of the...
master thesis 2022
document
Hageman, R.B. (author)
Floating offshore structures are continuously subjected to wave loads and loading originating from operational activities. These loads lead to cracks growing in the structure, a process known as fatigue accumulation. The analysis of fatigue accumulation is subject to large uncertainties. This is related to the high sensitivity of fatigue...
doctoral thesis 2022
document
Aldridge, Harry (author)
The approach to sustainable aviation requires effective policy and regulation, informed by accurate environmental research. Aviation emissions inventories form the basis of any environmental assessment, however they are based on simplifications and assumptions that introduce a degree of uncertainty. In terms of robust model development, it is...
master thesis 2022
document
Fayezioghani, A. (author), Dekker, R. (author), Sluys, Lambertus J. (author)
Structural components in corrosive environments such as pipelines, bridges, aircrafts, and turbines are imposed to stress corrosion. A stress corrosion model for pit growth should a) accurately consider the electrochemistry of the corrosion process, b) properly deal with the moving interface between solid and electrolyte, and c) effectively...
journal article 2022
document
Sosa, L. Gutierrez (author), Geiger, S. (author), Doster, Florian (author)
Accounting for poro-mechanical effects in full-field reservoir simulation studies and uncertainty quantification workflows using complex reservoir models is challenging, mainly because of the high computational cost. We hence introduce an alternative approach that couples hydrodynamics through existing flow diagnostics simulations with poro...
journal article 2022
document
Tognan, A. (author), Laurenti, L. (author), Salvati, E. (author)
Background: Over the past 20 years, the Contour Method (CM) has been extensively implemented to evaluate residual stress at the macro scale, especially in products where material processing is involved. Despite this, insufficient attention has been devoted to addressing the problems of input data filtering and residual stress uncertainties...
journal article 2022
document
Fayezioghani, A. (author), Dekker, R. (author), Sluys, Lambertus J. (author)
Corrosion is a phenomenon observed in structural components in corrosive environments such as pipelines, bridges, aircrafts, turbines, etc. The computational model of corrosion should enjoy two features: a) accurately considering the electrochemistry of corrosion and b) properly dealing with the moving interface between solid and electrolyte....
journal article 2022
document
Joshi, A. (author), Thakolkaran, P. (author), Zheng, Y. (author), Escande, Maxime (author), Flaschel, Moritz (author), De Lorenzis, Laura (author), Kumar, Siddhant (author)
Within the scope of our recent approach for Efficient Unsupervised Constitutive Law Identification and Discovery (EUCLID), we propose an unsupervised Bayesian learning framework for discovery of parsimonious and interpretable constitutive laws with quantifiable uncertainties. As in deterministic EUCLID, we do not resort to stress data, but...
journal article 2022
document
Kumthekar, A. (author), Ponnusami, Sathiskumar A. (author), van der Zwaag, S. (author), Turteltaub, S.R. (author)
Computationally-efficient surrogate models based on a Polynomial Chaos Expansion (PCE) are developed to quantify the uncertainties in the fracture behavior and lifetime of a self-healing thermal barrier coating system (SH-TBC) and a benchmark conventional TBC system. The surrogate models are built using deterministic information from...
journal article 2022
document
O'Hara, Kian (author)
In light of our depleting fossil fuel reserves and the relatively `cheap' extraction of oil and in spite of the highly nonlinear nature of reservoirs, waterflooding has become big business. In recent times, the use of numerical reservoir simulation has not only become possible but has increasingly been used in the petroleum industry in the...
master thesis 2021
document
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
document
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
document
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
document
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
document
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
document
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
document
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
Searched for: subject%3A%22uncertainty%255C%2Bquantification%22
(1 - 20 of 90)

Pages