Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks

In underground space technology, the issue of tunnel stability is a fundamental concern that significantly causes catastrophe. Owing to sedimentation and deposition processes, the strengths of clays are anisotropic, where the magnitudes of undrained shear strengths in the vertical and horizontal dir...

Full description

Bibliographic Details
Main Authors:	Wittaya Jitchaijaroen, Suraparb Keawsawasvong, Warit Wipulanusat, Divesh Ranjan Kumar, Pitthaya Jamsawang, Jirapon Sunkpho
Format:	Article
Language:	English
Published:	Elsevier 2024-03-01
Series:	Intelligent Systems with Applications
Subjects:	Anisotropic clay Rectangular tunnel Finite element limit analysis Limit analysis Artificial neural networks
Online Access:	http://www.sciencedirect.com/science/article/pii/S266730532400005X

Internet

http://www.sciencedirect.com/science/article/pii/S266730532400005X

Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks

Internet

Similar Items