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 …
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 …
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
The paper proposes a multi-scale uncertainty quantification framework of composite
laminated plates. The micro and macro uncertainty parameters are represented by random …
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 …
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 …
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
A non-contact acoustic pressure-based method is proposed for load identification in the
acoustic structure interaction system involving non-probabilistic uncertainty. The forward …
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 …
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 …
(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
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 …
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 …
increasing important role. To overcome the limitation of traditional single-uncertainty …