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 …
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 …
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 …
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 …
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 …
failure probability accurately, it is inefficient when small failure probabilities are of interest …
Robustness of structural reliability analyses to epistemic uncertainties
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 …
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 …
critical system, which existing in various fields, such as aircraft carrier, nuclear plant …
Heterogeneous uncertainty quantification using Bayesian inference for simulation-based design optimization
Heterogeneous uncertainties due to model imperfection, lack of training data, and input
variations coexist in simulation-based design optimization. In this work, a Bayesian …
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 …
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 …
Analysis (GSA) processes and explores in detail those aspects of metamodels which make …