Efficient Fragility Analysis of Cross-Fault Hydraulic Tunnels Combining Support Vector Machine and Improved Cloud Method-Reference-Cited by-同舟云学术

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Efficient Fragility Analysis of Cross-Fault Hydraulic Tunnels Combining Support Vector Machine and Improved Cloud Method

Published:2024-01-09 Issue:9 Volume:28 Page:2403-2421
ISSN:1363-2469
Container-title:Journal of Earthquake Engineering
language:en
Short-container-title:Journal of Earthquake Engineering

Author:

Sun Benbo¹,Deng Mingjiang²,Zhang Sherong³,Liu Weiying¹,Xu Jia²,Wang Chao³^ORCID,Cui Wei³

Affiliation:

1. Yellow River Laboratory, Zhengzhou University, Zhengzhou, China

2. School of Architecture and Construction, Xinjiang Ertix River Basin Development and Construction Management Bureau, Urumqi, China

3. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13632469.2023.2300487

Reference35 articles.

1. Use of fragility curves to assess the seismic vulnerability in the risk analysis of mountain tunnels

2. Arias, A. 1970. Measure of Earthquake Intensity. Univ. of Chile, Santiago de Chile: Massachusetts Inst. of Tech., Cambridge.

3. Quantitative Classification of Near-Fault Ground Motions Using Wavelet Analysis

4. Efficient Analytical Fragility Function Fitting Using Dynamic Structural Analysis

5. Three Proposals for Characterizing MDOF Nonlinear Seismic Response

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of an Improved Method Combining Machine Learning–Principal Component Analysis for the Fragility Analysis of Cross-Fault Hydraulic Tunnels;Buildings;2024-08-23

2. Rapid resilience assessment framework for mountain tunnels subjected to near-fault seismic ground motions;Soil Dynamics and Earthquake Engineering;2024-07

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