The prediction of horizontal displacement of retaining and protection structure based on BP neural network

International Conference on Manufacturing Technology, Materials and Chemical Engineering

机械制造;材料科学;化学工业

Liu, Xueling^1 ; Gao, Jie^2 ; Li, Nan^1 ; Chen, Guangping^1 ; Gao, Ou^1 ; Li, Jian^1

School of Geology Engineering and Geomatics, Chang'An University, Xi'an, Shaanxi

710054, China^1

Electronic Integrated Research Institute, Ministry of Information Industry, Xi'an, Shaanxi

710054, China^2

关键词: BP artificial neural network;    Displacement prediction;    Horizontal deformation;    Horizontal displacements;    Neural network prediction model;    Neural network toolboxes;    Nonlinear deformations;    Protection structure;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/392/6/062087/pdf
DOI  :  10.1088/1757-899X/392/6/062087

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The horizontal deformation and displacement of retaining and protection structure is one of the most significant deformations and failure types of deep excavations. The artificial neural network technology is introduced into the deep excavations system due to its complexity and nonlinear deformation characteristic. Based on the function of Matlab neural network toolbox, an artificial neural network prediction model, instead of a real model, was established to predict the horizontal displacement of retaining and protection structure of a project in Guangdong Province, in order to provide guidance for the excavation of deep foundation and the design of retaining and protection structure. The results reveal that the predicted value is consistent with that from the actual monitoring, which shows that the displacement prediction on the deep excavations through BP artificial neural network is feasible and reliable.