The proposed rapid evaluation framework is trained based on a large number of samples from the database and drawing tests. The characteristics of the bonding stress-slip constitutive are learned using CNN-LSTM, and then a simplified constitutive is establ (IMAGE)

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The proposed rapid evaluation framework is trained based on a large number of samples from the database and drawing tests. The characteristics of the bonding stress-slip constitutive are learned using CNN-LSTM, and then a simplified constitutive is establ

Caption

The proposed rapid evaluation framework is trained based on a large number of samples from the database and drawing tests. The characteristics of the bonding stress-slip constitutive are learned using CNN-LSTM, and then a simplified constitutive is established based on the peak points for application in the ABAQUS numerical simulation.

Credit

Yihu Chen/ Guilin University of Technology, Guangxi, Xingshuo Yang/ Guilin University of Technology, Guangxi, Jingchao Lin/ Guilin University of Technology, Guangxi, Guangxin Xie/ Guilin University of Technology, Guangxi, Min Zhang/ Guilin University of Technology, Guangxi, Yanwei Wang/ Guilin University of Technology, Guangxi.

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