A neural network approach for the reliability analysis on failure of shallow foundations on cohesive soils

A neural network approach for the reliability analysis on failure of shallow foundations on cohesive soils

Abstract A collection of feed forward neural networks (FNN) for estimating the limit pressure load and the according displacements at limit state of a footing settlement is presented. The training procedure is through supervised learning with error loss function the mean squared error norm. The inpu...

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Bibliographic Details
Main Authors: Ambrosios A. Savvides, Leonidas Papadopoulos
Format: Article
Language:English
Published: SpringerOpen 2024-06-01
Series:International Journal of Geo-Engineering
Subjects:
Neural networks
Shallow foundation
Footing settlement
Modified Cam Clay
Bearing capacity
Online Access:https://doi.org/10.1186/s40703-024-00217-1

Internet

https://doi.org/10.1186/s40703-024-00217-1

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