[1]ZHAO Yudong,XU Weixiao,YU Dehu,et al.Response Prediction Method of the RC Frame Structure Based on the Artificial Neural Network[J].Journal of Seismological Research,2024,47(01):123-134.[doi:10.20015/j.cnki.ISSN1000-0666.2024.0004]
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Response Prediction Method of the RC Frame Structure Based on the Artificial Neural Network
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
47
Number of periods:
2024 01
Page number:
123-134
Column:
Public date:
2024-01-01
- Title:
- Response Prediction Method of the RC Frame Structure Based on the Artificial Neural Network
- Keywords:
- RC frame structure; the artificial neural network; seismic response; analysis of the parameter sensitivity
- CLC:
- TU375.4; TU973+.212
- DOI:
- 10.20015/j.cnki.ISSN1000-0666.2024.0004
- Abstract:
- To realize the rapid prediction of seismic response of reinforced concrete(RC)frame structure,a seismic response prediction method of RC frame structure based on the artificial neural network(ANN)is proposed.Three typical RC frame structures of low-rise,multi-storey and small high-rise were designed as research examples.Ya’an area in Sichuan was taken as the target site.Based on the conditional mean spectrum(CMS),the ground motion records were selected as input and the elastic-plastic time history analysis was carried out.The obtained sample data were used to train the artificial neural network.The information of the ground motion intensity and the structures were used as input to predict the structural response,and the parameters’ sensitivity of the model was analyzed.The results show that the established artificial neural network model has good generalization performance,and the average spectral acceleration(AvgSa)has the highest average impact value(MIV).The proposed method provides a reference for the rapid prediction of the seismic response of the RC frame structures,and has a good application prospect.
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Last Update:
2023-12-20