Support vector machine in structural reliability analysis: A review

A Roy, S Chakraborty - Reliability Engineering & System Safety, 2023 - Elsevier
Support vector machine (SVM) is a powerful machine learning technique relying on the
structural risk minimization principle. The applications of SVM in structural reliability analysis …

Machine learning-based methods in structural reliability analysis: A review

SS Afshari, F Enayatollahi, X Xu, X Liang - Reliability Engineering & System …, 2022 - Elsevier
Structural Reliability analysis (SRA) is one of the prominent fields in civil and mechanical
engineering. However, an accurate SRA in most cases deals with complex and costly …

An active learning method combining deep neural network and weighted sampling for structural reliability analysis

Z Xiang, J Chen, Y Bao, H Li - Mechanical Systems and Signal Processing, 2020 - Elsevier
Owing to the tremendous computational cost of simulation for large-scale engineering
structures, surrogate model method is widely used as a sample classifier in structural …

Monte Carlo simulation using support vector machine and kernel density for failure probability estimation

S Lee - Reliability Engineering & System Safety, 2021 - Elsevier
Monte Carlo simulation requires a large number of sampling points. In a Monte Carlo
simulation, the performance function is calculated for all sampling points to determine the …

SS-MASVM: An advanced technique for assessing failure probability of high-dimensional complex systems using the multi-class adaptive support vector machine

HP Wan, JR Gan, YK Zhu, Z Meng - Computer Methods in Applied …, 2024 - Elsevier
The integrity of structures in contemporary engineering practices is heavily influenced by
inherent uncertainties, which necessitates the development of reliable structural reliability …

Performance indicators for structural systems and infrastructure networks

M Ghosn, L Dueñas-Osorio, DM Frangopol… - Journal of Structural …, 2016 - ascelibrary.org
Establishing consistent criteria for assessing the performance of structural systems and
infrastructure networks is a critical component of communities' efforts to optimize investment …

A wavelet support vector machine‐based neural network metamodel for structural reliability assessment

H Dai, Z Cao - Computer‐Aided Civil and Infrastructure …, 2017 - Wiley Online Library
Wavelet neural network (WNN) has been widely used in the field of civil engineering.
However, WNN can only effectively handle problems of small dimensions as the …

Structural reliability assessment by local approximation of limit state functions using adaptive Markov chain simulation and support vector regression

H Dai, H Zhang, W Wang, G Xue - Computer‐Aided Civil and …, 2012 - Wiley Online Library
The surrogate model method is widely used in structural reliability analysis to approximate
complex limit state functions. Accurate results can only be obtained when the surrogate …

Bridge retrofit prioritisation for ageing transportation networks subject to seismic hazards

K Rokneddin, J Ghosh, L Dueñas-Osorio… - Structure and …, 2013 - Taylor & Francis
The deteriorating state of highway bridges is traditionally ignored in estimating the seismic
reliability of transportation networks. In this study, the present day seismic reliability of …

Structural reliability and reliability sensitivity analysis of extremely rare failure events by combining sampling and surrogate model methods

P Wei, C Tang, Y Yang - … Engineers, Part O: Journal of risk …, 2019 - journals.sagepub.com
The aim of this article is to study the reliability analysis, parametric reliability sensitivity
analysis and global reliability sensitivity analysis of structures with extremely rare failure …