An overview of adaptive-surrogate-model-assisted methods for reliability-based design optimization

C Ling, W Kuo, M **e - IEEE Transactions on Reliability, 2022 - ieeexplore.ieee.org
Reliability-based design optimization (RBDO) is one of the most crucial techniques in
complex and reliability-critical engineering systems. This has been a research hotspot over …

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 …

Prediction of maximum pitting corrosion depth in oil and gas pipelines

MEAB Seghier, B Keshtegar, KF Tee, T Zayed… - Engineering Failure …, 2020 - Elsevier
Avoiding failures of corroded steel structures are critical in offshore oil and gas operations.
An accurate prediction of maximum depth of pitting corrosion in oil and gas pipelines has …

Advanced intelligence frameworks for predicting maximum pitting corrosion depth in oil and gas pipelines

MEAB Seghier, B Keshtegar… - Process Safety and …, 2021 - Elsevier
The main objective of this paper is to develop accurate novel frameworks for the estimation
of the maximum pitting corrosion depth in oil and gas pipelines based on data-driven …

Reliability-based design optimization: a state-of-the-art review of its methodologies, applications, and challenges

W Hu, S Cheng, J Yan, J Cheng, X Peng… - Structural and …, 2024 - Springer
Reliability-based design optimization (RBDO) integrates various uncertainties into the
design optimization process, offering a more realistic and robust approach compared to …

Multi-extremum-modified response basis model for nonlinear response prediction of dynamic turbine blisk

B Keshtegar, M Bagheri, CW Fei, C Lu… - Engineering with …, 2021 - Springer
For the nonlinear dynamic analyses of complex mechanical components, it is necessary to
apply efficient modeling framework to reduce computational burden. The accurate surrogate …

Novel hybrid robust method for uncertain reliability analysis using finite conjugate map

SP Zhu, B Keshtegar, M Bagheri, P Hao… - Computer Methods in …, 2020 - Elsevier
Due to the limitation of measured data, the random and epistemic uncertainties must be
simultaneously handled for the reliability analysis of curvilinear aircraft stiffened panels with …

An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting

M Hasanipanah, B Keshtegar, DK Thai… - Engineering with …, 2022 - Springer
Blasting is the cheapest and most common method of rock excavation. The basic purpose of
blasting is to breakage and displacement of rock mass and, on the other hand, it has some …

Multilevel nested reliability-based design optimization with hybrid intelligent regression for operating assembly relationship

CW Fei, H Li, HT Liu, C Lu, B Keshtegar… - Aerospace Science and …, 2020 - Elsevier
Designing assembly relationship during operation always involves the analyses of many
components and multi-discipline interaction, and seriously influences the reliability and work …