Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review

Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review

Abstract Geotechnical engineering plays a crucial role in evaluating seismic hazards, especially in areas prone to earthquakes, ensuring that infrastructure remains resilient. The advent of machine learning (ML) techniques has significantly enhanced the prediction of soil-structure interactions duri...

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Bibliographic Details
Main Authors: Shrikant M. Harle, Rajan L. Wankhade
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Civil Engineering
Subjects:
Machine learning (ML) techniques
Predictive modeling in geotechnical engineering
Geotechnical analysis
Seismic hazard prediction
Infrastructure performance prediction
Data-driven modeling in geotechnics
Online Access:https://doi.org/10.1007/s44290-025-00224-w
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https://doi.org/10.1007/s44290-025-00224-w

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