A Surrogate Model for the Rapid Prediction of Factor of Safety in Slopes with Spatial Variability

A Surrogate Model for the Rapid Prediction of Factor of Safety in Slopes with Spatial Variability

Due to the complexity and long-term nature of geological evolution, geotechnical strength parameters exhibit significant spatial variability, which has a crucial impact on slope stability assessment. While traditional numerical methods combined with Monte Carlo simulations and Gaussian random field...

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Bibliographic Details
Main Authors: Xitailang Cao, Shan Lin, Miao Dong, Quanke Hu, Hong Zheng
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
surrogate model
convolutional neural network
factor of safety
spatial variability
slope stability
Online Access:https://www.mdpi.com/2227-7390/13/10/1604
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