Application of ANN in Predicting the Cantilever Wall Deflection in Undrained Clay

Application of ANN in Predicting the Cantilever Wall Deflection in Undrained Clay

The main objective of this study is to propose an artificial neural network (ANN)-based tool for predicting the cantilever wall deflection in undrained clay. The excavation width, the excavation depth, the wall thickness, the at-rest lateral earth pressure coefficient, the soil shear strength ratio...

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Bibliographic Details
Main Authors: Zhongkai Huang, Dongmei Zhang, Dongming Zhang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
cantilever wall deflection
machine learning
artificial neural network
graphical user interface
undrained clay
Online Access:https://www.mdpi.com/2076-3417/11/20/9760

Internet

https://www.mdpi.com/2076-3417/11/20/9760

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