Time-Variant Reliability Analysis for a Complex System Based on Active-Learning Kriging Model-Reference-Cited by-同舟云学术

Time-Variant Reliability Analysis for a Complex System Based on Active-Learning Kriging Model

Published:2023-03 Issue:1 Volume:9 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Qian Hua-Ming¹,Huang Hong-Zhong²,Wei Jing³

Affiliation:

1. Research Associate, State Key Laboratory of Mechanical Transmission, Chongqing Univ., Chongqing 400044, China.

2. Professor, School of Mechanical and Electrical Engineering, Center for System Reliability and Safety, Univ. of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China (corresponding author).

3. Professor, State Key Laboratory of Mechanical Transmission, Chongqing Univ., Chongqing 400044, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-962

Reference34 articles.

1. Cao, J. H., and K. Cheng. 2005. Introduction to reliability mathematics. Beijing: Higher Education Press.

2. A single-loop reliability analysis strategy for time-dependent problems with small failure probability

3. Subset simulation based approach for space-time-dependent system reliability analysis of corroding pipelines

4. Time-variant reliability analysis using the parallel subset simulation

5. AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation

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