High-Dimensional Reliability Analysis with Error-Guided Active-Learning Probabilistic Support Vector Machine: Application to Wind-Reliability Analysis of Transmission Towers-Reference-Cited by-同舟云学术

High-Dimensional Reliability Analysis with Error-Guided Active-Learning Probabilistic Support Vector Machine: Application to Wind-Reliability Analysis of Transmission Towers

Published:2022-05 Issue:5 Volume:148 Page:
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Song Chaolin¹,Shafieezadeh Abdollah²^ORCID,Xiao Rucheng³

Affiliation:

1. Visiting Scholar, Risk Assessment and Management of Structural and Infrastructure Systems (RAMSIS) Laboratory, Dept. of Civil, Environmental, and Geodetic Engineering, The Ohio State Univ., Columbus, OH 43210; Ph.D. Candidate, Dept. of Bridge Engineering, Tongji Univ., Shanghai 200092, China.

2. Lichtenstein Associate Professor, Risk Assessment and Management of Structural and Infrastructure Systems (RAMSIS) Laboratory, Dept. of Civil, Environmental, and Geodetic Engineering, The Ohio State Univ., Columbus, OH 43210 (corresponding author). ORCID: .

3. Professor, Dept. of Bridge Engineering, Tongji Univ., Shanghai 200092, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ST.1943-541X.0003332

Reference52 articles.

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4. Estimation of small failure probabilities in high dimensions by subset simulation

5. Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions

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