PINN-FORM: a new physics-informed neural network for reliability analysis with partial differential equation

Z Meng, Q Qian, M Xu, B Yu, AR Yıldız… - Computer Methods in …, 2023 - Elsevier
The first-order reliability method (FORM) is commonly used in the field of structural reliability
analysis, which transforms the reliability analysis problem into the solution of an optimization …

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 …

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 …

A systematic review of structural reliability methods for deformation and fatigue analysis of offshore jacket structures

AA Shittu, A Kolios, A Mehmanparast - Metals, 2020 - mdpi.com
This paper presents the state of the art in Structural Reliability Analysis (SRA) methods with
a view of identifying key applications of each method and its proposed variations, qualifying …

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 …

[HTML][HTML] Multidisciplinary design for structural integrity using a collaborative optimization method based on adaptive surrogate modelling

D Meng, Y Li, C He, J Guo, Z Lv, P Wu - Materials & Design, 2021 - Elsevier
As one of the multidisciplinary design optimization methods, the collaborative optimization
(CO) can enjoy a high degree of discipline autonomy. It has received extensive attention 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 …

A general failure-pursuing sampling framework for surrogate-based reliability analysis

C Jiang, H Qiu, Z Yang, L Chen, L Gao, P Li - Reliability Engineering & …, 2019 - Elsevier
Abstract Design of experiment and active learning strategy are vital for the surrogate-based
reliability analysis. However, the existing sampling and modeling methods usually ignore …

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 …

A novel surrogate-model based active learning method for structural reliability analysis

L Hong, H Li, J Fu - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
The surrogate-model based active learning method has a satisfactory trade-off between
efficiency and accuracy, which has been widely used in reliability analysis. In this paper, an …