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 …

Non-probabilistic reliability-based topology optimization (NRBTO) scheme for continuum structures based on the parameterized level-set method and interval …

L Wang, Z Li, BW Ni, K Gu - Computer Methods in Applied Mechanics and …, 2021 - Elsevier
In this paper, a study on non-probabilistic reliability-based topology optimization (NRBTO)
scheme for continuum structures based on the parameterized Level-Set method (PLSM) is …

Multi-scale uncertainty quantification of composite laminated plate considering random and interval variables with data driven PCE method

X Peng, T Ye, J Li, H Wu, S Jiang… - Mechanics of Advanced …, 2021 - Taylor & Francis
The paper proposes a multi-scale uncertainty quantification framework of composite
laminated plates. The micro and macro uncertainty parameters are represented by random …

An efficient method combining active learning Kriging and Monte Carlo simulation for profust failure probability

C Ling, Z Lu, B Sun, M Wang - Fuzzy Sets and Systems, 2020 - Elsevier
For more and more complicated engineering structures, it is a challenge to efficiently
estimate the profust failure probability based on the probability inputs and fuzzy st ate …

An effective approach for reliability-based robust design optimization of uncertain powertrain mounting systems involving imprecise information

H Lü, H Mao, X Huang, H Yin… - Engineering with …, 2021 - Springer
The uncertain parameters of automotive powertrain mounting systems (PMSs) may involve
imprecise information (eg, incomplete, different and conflicting information) in engineering …

A non-contact acoustic pressure-based method for load identification in acoustic-structural interaction system with non-probabilistic uncertainty

ZC He, XY Lin, E Li - Applied Acoustics, 2019 - Elsevier
A non-contact acoustic pressure-based method is proposed for load identification in the
acoustic structure interaction system involving non-probabilistic uncertainty. The forward …

A methodology for design optimization of powertrain mounting systems involving hybrid interval-random uncertainties

H Lü, Z Zheng, X Huang, H Yin… - Structural and …, 2021 - Springer
Automotive powertrain mounting systems (PMSs) may exhibit hybrid interval-random (HIR)
uncertainties in engineering practice. In HIR case, the uncertain parameters of PMSs are …

Uncertainty propagation analysis of fuzzy uncertain structures involving imprecise membership functions

H Lü, Z Zheng, X Huang, WB Shangguan… - International Journal of …, 2023 - World Scientific
Uncertain structures may exhibit fuzzy uncertainty involving imprecise membership function
(FuIMF). In this study, the uncertain parameters in FuIMF case are characterized as fuzzy …

An improved method for fuzzy–interval uncertainty analysis and its application in brake instability study

H Lü, Z Cai, Q Feng, WB Shangguan, D Yu - Computer Methods in Applied …, 2018 - Elsevier
Most of the existing methods of brake squeal instability analysis are merely available to
handle single type of uncertain case. In this study, an improved unified method is developed …

Coupled fuzzy-interval model and method for structural response analysis with non-probabilistic hybrid uncertainties

C Wang, HG Matthies - Fuzzy Sets and Systems, 2021 - Elsevier
In many engineering practices with uncertainty, the non-probabilistic methods play an
increasing important role. To overcome the limitation of traditional single-uncertainty …