Prediction of Undrained Bearing Capacity of Skirted Foundation in Spatially Variable Soils Based on Convolutional Neural Network

Prediction of Undrained Bearing Capacity of Skirted Foundation in Spatially Variable Soils Based on Convolutional Neural Network

Skirted foundations are widely used in offshore and subsea engineering. Previous studies have shown that soil undrained shear strength variability has a notable impact on probabilistic analyses of skirted foundation bearing capacity. This study proposes an efficient machine-learning method to predic...

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Bibliographic Details
Main Authors: Haifeng Cheng, Houle Zhang, Zihan Liu, Yongxin Wu
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
convolutional neural network
spatial variability
skirted foundation
bearing capacity
Online Access:https://www.mdpi.com/2076-3417/13/11/6624

Internet

https://www.mdpi.com/2076-3417/13/11/6624

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