期刊
ADVANCES IN STRUCTURAL ENGINEERING
卷 -, 期 -, 页码 -出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/1369433221106783
关键词
Train-bridge interaction; Newmark-beta method; earthquake-induced hydrodynamic pressure; strong wave; back-propagation neural network
资金
- National Natural Science Foundation of China [51678490, U1434205]
This study investigates the influence of earthquake-induced hydrodynamic force on the stochastic responses of the train-bridge interaction using the Newmark-beta method. The results show that the earthquake-induced hydrodynamic force involves significant responses of the train-bridge system.
Forecasting the behavior of the train-bridge system under strong waves is crucial in designing the cross-sea bridge. However, the influence of earthquake-induced hydrodynamic pressure on the dynamic system may be significant and need to be adequately understood. This study investigates the influence of earthquake-induced hydrodynamic force on the stochastic responses of the train-bridge interaction using the Newmark-beta method. A surrogate model named back-propagation neural network is implemented by correlating wave samples with the stochastic responses of the train-bridge system. Such a model improves computation efficiency and avoids further time-step integration. The Pintan's bridge, located in China's Eastern Region, is selected as a case study. The results show that the earthquake-induced hydrodynamic force involves significant responses of the train-bridge system. Moreover, the maximum dynamic amplification factor of the deck and the pier are 6% and 12.5%, respectively. Finally, a significant value of the peak period minimizes the effect of the earthquake-induced hydrodynamic responses on the train-bridge system.
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