Vectorial surrogate modeling method for multi-objective reliability design

CW Fei, H Li, C Lu, L Han, B Keshtegar… - Applied Mathematical …, 2022 - Elsevier
To improve the computational cost and accuracy for the multi-objective reliability design of
complex structures, a synchronous modeling concept is proposed by introducing matrix …

AK-SYSi: an improved adaptive Kriging model for system reliability analysis with multiple failure modes by a refined U learning function

W Yun, Z Lu, Y Zhou, X Jiang - Structural and Multidisciplinary …, 2019 - Springer
Due to multiple implicit limit state functions needed to be surrogated, adaptive Kriging model
for system reliability analysis with multiple failure modes meets a big challenge in accuracy …

Dynamic reliability analysis of stochastic structures under non-stationary random excitations based on an explicit time-domain method

H Huang, Y Li, W Li - Structural Safety, 2023 - Elsevier
For the analysis of the dynamic reliability of stochastic structures subjected to non-stationary
random excitations, an effective hybrid approach is proposed. In this approach, the explicit …

Sensitivity analysis in seismic reliability of an urban self-anchored suspension bridge

Z Xia, ST Quek, A Li, J Li, M Duan, G Zhou… - Mechanical Systems and …, 2022 - Elsevier
Seismic resistance and disaster prevention for self-anchored suspension bridge (SASB) are
important, but the seismic reliability of this complex structure is time-consuming or low …

Hybrid approach to seismic reliability assessment of engineering structures

Z Xia, ST Quek, A Li, J Li, M Duan - Engineering Structures, 2017 - Elsevier
Abstract Although the direct Monte Carlo simulation (MCS) method can estimate the seismic
failure probability accurately, it is inefficient when small failure probabilities are of interest …

Robustness of structural reliability analyses to epistemic uncertainties

M Guedri, S Cogan, N Bouhaddi - Mechanical systems and signal …, 2012 - Elsevier
Methods for the robust design of mechanical systems have the objective to reduce the
variability in system performance with respect to uncertainties in the material and …

Enhance GO methodology for reliability analysis of the closed-loop system using Cyclic Bayesian Networks

K Li, Y Ren, D Fan, L Liu, Z Wang, Z Ma - Mechanical Systems and Signal …, 2018 - Elsevier
GO methodology is a success-oriented method for reliability analysis of complex safety
critical system, which existing in various fields, such as aircraft carrier, nuclear plant …

Heterogeneous uncertainty quantification using Bayesian inference for simulation-based design optimization

M Li, Z Wang - Structural Safety, 2020 - Elsevier
Heterogeneous uncertainties due to model imperfection, lack of training data, and input
variations coexist in simulation-based design optimization. In this work, a Bayesian …

Uncertainties Propagation Through Robust Reduced Non-linear Dynamic Model in Large Displacements

M Guedri, N Bouhaddi - International Conference on Acoustics and …, 2022 - Springer
This paper proposes a reduction order method (ROM) adapted to geometrical and large
displacement nonlinearities and large size dynamic models with uncertainties. The …

Uncertainty quantification and global sensitivity analysis in computational mechanics

E Menga - 2020 - oa.upm.es
This thesis provides insight on Uncertainty Quantification (UQ) and Global Sensitivity
Analysis (GSA) processes and explores in detail those aspects of metamodels which make …