Safety Risk Warning of Deep Foundation Pit Deformation Based on LSTM

被引：1
作者：
Xia T. [1 ]
Cheng C. [1 ]
Pang Q. [1 ]
机构：
[1] Faculty of Engineering, China University of Geosciences, Wuhan
来源：
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | 2023年 / 48卷 / 10期
关键词：
deep foundation pit; deformation prediction; engineering geology; foundation pit safety; long-term and short-term memory; risk warning; safty engineering;
D O I：
10.3799/dqkx.2021.250
中图分类号：
学科分类号：
摘要：
In order to prevent deep foundation pit construction safety accidents, a set of risk warning standards based on monitoring data is proposed, and a deep foundation pit deformation safety risk warning model based on long short-term memory (LSTM) was established. Relying on the actual deep foundation pit engineering project, the risk warning model is applied to it to make short-term predictions of the deformation of each monitoring item of the foundation pit. The maximum error between the predicted data and the actual data is 5.04%, the minimum error is 0.04%, and the average relative error is 2.41%, which proves that the prediction effect of the model is good. It shows that the LSTM-based deep foundation pit deformation safety risk early warning model has good accuracy and superiority in the prediction of foundation pit deformation, and can provide a reliable guarantee for the safety judgment and risk management of foundation pit engineering. © 2023 China University of Geosciences. All rights reserved.
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页码：3925 / 3931
页数：6
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