Uncertainty-Based Design and Optimization Using First Order Saddle Point Approximation Method for Multidisciplinary Engineering Systems-Reference-Cited by-同舟云学术

Uncertainty-Based Design and Optimization Using First Order Saddle Point Approximation Method for Multidisciplinary Engineering Systems

Published:2020-09 Issue:3 Volume:6 Page:04020028
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:

Meng Debiao¹^ORCID,Xie Tianwen²,Wu Peng²,Zhu Shun-Peng³,Hu Zhengguo²,Li Yan²

Affiliation:

1. Associate Professor, School of Mechanical and Electrical Engineering, Univ. of Electronic Science and Technology of China, Chengdu 611731, China; Researcher, Key Laboratory (Fluid Machinery and Engineering Research Base) of Sichuan Province, Xihua Univ., Chengdu 610039, China (corresponding author). ORCID: .

2. Researcher, School of Mechanical and Electrical Engineering, Univ. of Electronic Science and Technology of China, Chengdu 611731, China.

3. Professor, Center for System Reliability and Safety, School of Mechanical and Electrical Engineering, Univ. of Electronic Science and Technology of China, Chengdu 611731, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

http://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0001076

Reference41 articles.

1. Probabilistic modelling of notch fatigue and size effect of components using highly stressed volume approach

2. Probabilistic modeling of fatigue life distribution and size effect of components with random defects

3. Multi-Objective Multidisciplinary Design Optimization Approach for Partially Reusable Launch Vehicle Design

4. Saddlepoint Approximation for Sequential Optimization and Reliability Analysis

5. First Order Saddlepoint Approximation for Reliability Analysis

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