Multidisciplinary design optimization of engineering systems under uncertainty: a review

D Meng, S Yang, C He, H Wang, Z Lv… - International Journal of …, 2022 - emerald.com
Purpose As an advanced calculation methodology, reliability-based multidisciplinary design
optimization (RBMDO) has been widely acknowledged for the design problems of modern …

Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis

C Luo, B Keshtegar, SP Zhu, O Taylan… - Computer Methods in …, 2022 - Elsevier
The accurate estimations of the failure probability with low-computational burden play a vital
role in structural reliability analyses. Due to high-calculation cost and time-consuming Monte …

Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study

Z Meng, BS Yıldız, G Li, C Zhong, S Mirjalili… - Structural and …, 2023 - Springer
Multiobjective reliability-based design optimization (RBDO) is a research area, which has
not been investigated in the literatures comparing with single-objective RBDO. This work …

Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches

SP Zhu, B Keshtegar, MEAB Seghier, E Zio… - Computer Methods in …, 2022 - Elsevier
Computing the sensitivity vector in the traditional first order reliability method may provide
inaccurate reliability outcomes for discrete performance functions and inefficient …

Time-dependent reliability-based optimization for structural-topological configuration design under convex-bounded uncertain modeling

L Wang, Y Liu, M Li - Reliability Engineering & System Safety, 2022 - Elsevier
In this work, a novel convexity-oriented time-dependent reliability-based topology
optimization (CTRBTO) framework is investigated with overall consideration of universal …

A comparative study of metaheuristic algorithms for reliability-based design optimization problems

Z Meng, G Li, X Wang, SM Sait, AR Yıldız - Archives of Computational …, 2021 - Springer
The ever-increasing demands for resource-saving, engineering technology progress, and
environmental protection stimulate the progress of the progressive design method. As an …

Efficient local adaptive Kriging approximation method with single-loop strategy for reliability-based design optimization

M Yang, D Zhang, F Wang, X Han - Computer Methods in Applied …, 2022 - Elsevier
The classical reliability-based design optimization (RBDO) methods, due to the ever
increasing complexity of designs and contingent engineering situations, incur more and …

New efficient and robust method for structural reliability analysis and its application in reliability-based design optimization

M Yang, D Zhang, X Han - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
Due to its advantages of simplicity and high efficiency, Hasofer–Lind and Rackwitz–Fiessler
(HL–RF) method is widely used in structural reliability analysis. However, it may encounter …

[HTML][HTML] Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis

C Jiang, H Qiu, L Gao, D Wang, Z Yang… - Applied Mathematical …, 2020 - Elsevier
Time-dependent reliability analysis using surrogate model has drawn much attention for
avoiding the high computational burden. But the surrogate training strategies of existing …

Novel probabilistic model for searching most probable point in structural reliability analysis

SP Zhu, B Keshtegar, S Chakraborty… - Computer Methods in …, 2020 - Elsevier
Abstract The Most Probable Point (MPP) is typically searched by transforming the basic
random variables from original to standard normal space in the traditional first order …