A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Fragility Analysis for Subway Station Using Artificial Neural Network
To avoid the limitations of the assumptions for the traditional probabilistic seismic demand model (PSDM), this study proposed a novel PSDM for conducting fragility analysis of subway stations based on artificial neural network (ANN). The proposed ANN-based PSDM consists of an ANN-based trend model and a probabilistic-neural-network (PNN)-based error model. A two-story and three-span subway station in Shanghai was taken as a case. The results show that compared with the traditional PSDM, the proposed ANN-based PSDM can better predict the seismic responses of structures and describes the nonhomogeneous variance of residuals of the predicted seismic responses.
Fragility Analysis for Subway Station Using Artificial Neural Network
To avoid the limitations of the assumptions for the traditional probabilistic seismic demand model (PSDM), this study proposed a novel PSDM for conducting fragility analysis of subway stations based on artificial neural network (ANN). The proposed ANN-based PSDM consists of an ANN-based trend model and a probabilistic-neural-network (PNN)-based error model. A two-story and three-span subway station in Shanghai was taken as a case. The results show that compared with the traditional PSDM, the proposed ANN-based PSDM can better predict the seismic responses of structures and describes the nonhomogeneous variance of residuals of the predicted seismic responses.
Fragility Analysis for Subway Station Using Artificial Neural Network
Huang, Pengfei (author) / Chen, Zhiyi (author)
Journal of Earthquake Engineering ; 26 ; 6724-6744
2022-10-03
21 pages
Article (Journal)
Electronic Resource
Unknown
Fragility analysis of a subway station structure by incremental dynamic analysis
| SAGE Publications | 2017
Fragility analysis of a subway station structure by incremental dynamic analysis
| Online Contents | 2016
Fragility analysis of a subway station structure by incremental dynamic analysis
| Online Contents | 2017