Earthquakes and Structures

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Assessment of tunnel damage potential by ground motion using canonical correlation analysis

  • Chen, Changjian (Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University) ;
  • Geng, Ping (Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University) ;
  • Gu, Wenqi (Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University) ;
  • Lu, Zhikai (CCCC Highway Consultants Co., Ltd.) ;
  • Ren, Bainan (China Railway Construction Kunlun Metro Investment and Construction Management Co., Ltd.)
  • Received : 2022.06.28
  • Accepted : 2022.09.28
  • Published : 2022.09.25
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Abstract

In this study, we introduce a canonical correlation analysis method to accurately assess the tunnel damage potential of ground motion. The proposed method can retain information relating to the initial variables. A total of 100 ground motion records are used as seismic inputs to analyze the dynamic response of three different profiles of tunnels under deep and shallow burial conditions. Nine commonly used ground motion parameters were selected to form the canonical variables of ground motion parameters (GMPCCA). Five structural dynamic response parameters were selected to form canonical variables of structural dynamic response parameters (DRPCCA). Canonical correlation analysis is used to maximize the correlation coefficients between GMPCCA and DRPCCA to obtain multivariate ground motion parameters that can be used to comprehensively assess the tunnel damage potential. The results indicate that the multivariate ground motion parameters used in this study exhibit good stability, making them suitable for evaluating the tunnel damage potential induced by ground motion. Among the nine selected ground motion parameters, peck ground acceleration (PGA), peck ground velocity (PGV), root-mean-square acceleration (RMSA), and spectral acceleration (Sa) have the highest contribution rates to GMPCCA and DRPCCA and the highest importance in assessing the tunnel damage potential. In contrast to univariate ground motion parameters, multivariate ground motion parameters exhibit a higher correlation with tunnel dynamic response parameters and enable accurate assessment of tunnel damage potential.

Keywords

Acknowledgement

The authors appreciate the financial support from the National Natural Science Foundation of China (Key Program, Grant No. 52130808 and General Program, Grant No. 51878566) and National Key R & D Programme of China (Key Projects for International Science and Technology Innovation Cooperation between Governments, Grant No. 2022YFE0104300). We also would like to thank "Pacific Earthquake Engineering Research Center (https://ngawest2.berkeley.edu/site)" for the data support. The authors are also grateful to editor and anonymous reviewers for their valuable comments and suggestions on this paper.

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