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 …

Reliability analysis with stratified importance sampling based on adaptive Kriging

S Xiao, S Oladyshkin, W Nowak - Reliability Engineering & System Safety, 2020 - Elsevier
In reliability engineering, estimating the failure probability of a system is one of the most
challenging tasks. Since many applied engineering tasks are computationally expensive, it …

[HTML][HTML] A hybrid self-adaptive conjugate first order reliability method for robust structural reliability analysis

B Keshtegar, S Chakraborty - Applied Mathematical Modelling, 2018 - Elsevier
Abstract The traditional First Order Reliability Method (FORM) using steepest descent search
direction may yield unstable solutions due to periodic nature and chaos for reliability …

Risk-informed digital twin of buildings and infrastructures for sustainable and resilient urban communities

U Alibrandi - ASCE-ASME Journal of Risk and Uncertainty in …, 2022 - ascelibrary.org
The digital twin (DT) is a virtual replica of real-world buildings, processes, structures, people,
and systems created and maintained to answer questions about its physical part, the …

Performance-based engineering and multi-criteria decision analysis for sustainable and resilient building design

KM Mosalam, U Alibrandi, H Lee, J Armengou - Structural Safety, 2018 - Elsevier
In this paper, an integrated approach for a holistic (involving notions of resiliency and
sustainability) building design is presented to select the optimal design alternative based on …

Application of first-order reliability method with orthogonal plane sampling for high-dimensional series system reliability analysis

W Chen, C Gong, Z Wang, DM Frangopol - Engineering Structures, 2023 - Elsevier
The increasing complexity of modern engineering systems has motivated a shift of research
focus from component-level reliability to system reliability with interdependent components …

Efficient reliability analysis of structures with the rotational quasi-symmetric point-and the maximum entropy methods

J Xu, C Dang, F Kong - Mechanical Systems and Signal Processing, 2017 - Elsevier
This paper presents a new method for efficient structural reliability analysis. In this method, a
rotational quasi-symmetric point method (RQ-SPM) is proposed for evaluating the fractional …

Estimation of small failure probabilities based on thermodynamic integration and parallel tempering

S Xiao, S Reuschen, G Köse, S Oladyshkin… - Mechanical Systems and …, 2019 - Elsevier
Estimating small failure probabilities of systems is one of the most challenging tasks in the
reliability analysis of engineering systems. Classic Monte Carlo simulation estimates the …

Machine learning classifier-based dynamic surrogate model for structural reliability analysis

G Su, W Sun, Y Zhao - Structure and Infrastructure Engineering, 2025 - Taylor & Francis
The performance functions of large-scale complex structures are often implicit and
nonlinear, which leads to problems such as high computational costs and low computational …

Reliability analysis by combining higher-order unscented transformation and fourth-moment method

S Xiao, Z Lu - ASCE-ASME Journal of Risk and Uncertainty in …, 2018 - ascelibrary.org
In this work, the fourth-moment method and the higher-order unscented transformation is
combined to calculate the failure probability. The higher-order unscented transformation is …