4.5 Article

Influence of earthquake-induced hydrodynamic pressure on train-bridge interactions based on back-propagation neural network

期刊

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

  1. National Natural Science Foundation of China [51678490, U1434205]

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据