[HTML][HTML] Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model

D Ye, A Nikishova, L Veen, P Zun… - Reliability Engineering & …, 2021 - Elsevier
Abstract The In-Stent Restenosis 2D model is a full y coupled multiscale simulation of post-
stenting tissue growth, in which the most costly submodel is the blood flow simulation. This …

[HTML][HTML] Uncertainty quantification of a multiscale model for in-stent restenosis

A Nikishova, L Veen, P Zun, AG Hoekstra - … Engineering and Technology, 2018 - Springer
Purpose Coronary artery stenosis, or abnormal narrowing, is a widespread and potentially
fatal cardiac disease. After treatment by balloon angioplasty and stenting, restenosis may …

Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling

D Ye, P Zun, V Krzhizhanovskaya… - Journal of the Royal …, 2022 - royalsocietypublishing.org
In-stent restenosis is a recurrence of coronary artery narrowing due to vascular injury
caused by balloon dilation and stent placement. It may lead to the relapse of angina …

Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis

A Nikishova, L Veen, P Zun… - … Transactions of the …, 2019 - royalsocietypublishing.org
We explore the efficiency of a semi-intrusive uncertainty quantification (UQ) method for
multiscale models as proposed by us in an earlier publication. We applied the multiscale …

[HTML][HTML] Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling

S Kakhaia, P Zun, D Ye, V Krzhizhanovskaya - Reliability Engineering & …, 2023 - Elsevier
Disorders of coronary arteries lead to severe health problems such as atherosclerosis,
angina, heart attack and even death. Considering the clinical significance of coronary …

Analytical uncertainty propagation via metamodels in simulation-based design under uncertainty

W Chen, R Jin, A Sudjianto - 10th AIAA/ISSMO multidisciplinary …, 2004 - arc.aiaa.org
Development of efficient methods for uncertainty propagation has gained much attention in
recent years due to the increasing awareness of the importance of nondeterministic …

Anisotropic meta‐models for computationally expensive simulations in nonlinear mechanics

E Menga, MJ Sánchez, I Romero - International Journal for …, 2020 - Wiley Online Library
Nonintrusive methods are now established in the engineering community as a pragmatic
approach for the uncertainty quantification (UQ) and global sensitivity analysis (GSA) of …

Hybrid uncertainty propagation based on multi-fidelity surrogate model

J Liu, Y Shi, C Ding, M Beer - Computers & Structures, 2024 - Elsevier
There always exist multiple uncertainties including random uncertainty, interval uncertainty,
and fuzzy uncertainty in engineering structures. In the presence of hybrid uncertainties, the …

[HTML][HTML] Recent advances in surrogate modeling methods for uncertainty quantification and propagation

C Wang, X Qiang, M Xu, T Wu - Symmetry, 2022 - mdpi.com
Surrogate-model-assisted uncertainty treatment practices have been the subject of
increasing attention and investigations in recent decades for many symmetrical engineering …

[PDF][PDF] Uncertainty propagation through large nonlinear models

W Becker - 2011 - researchgate.net
Uncertainty analysis in computer models has seen a rise in interest in recent years as a
result of the increased complexity of (and dependence on) computer models in the design …