Probabilistic analysis of gravity retaining wall against bearing failure

• Main Authors: Mustafa, Rashid, Samui, Pijush, Kumari, Sunita, Mohamad, Edy Tonnizam, Bhatawdekar, Ramesh Murlidhar
• Format: Article
• Language: English
• Published: Institute for Ionics 2023
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/105381/1/EdyTonnizamMohamad2023_ProbabilisticAnalysisOfGravityRetainingWall.pdf; http://eprints.utm.my/105381/; http://dx.doi.org/10.1007/s42107-023-00697-z

Machine learning (ML) models have been extensively used in the stability check of gravity retaining wall. They are renowned as the most capable methods for predicting factor of safety (FOS) of gravity retaining wall against bearing failure. In this work, FOS against bearing is predicted based on ext...