Liquefaction susceptibility using machine learning based on SPT data

Liquefaction susceptibility using machine learning based on SPT data

Assessing the potential for liquefaction using traditional experimental or empirical analysis procedures is both time-consuming and arduous. Employing a machine learning model that can accurately predict liquefaction potential for a specific site can reduce the time, effort, and associated costs. Th...

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Bibliographic Details
Main Authors: Divesh Ranjan Kumar, Pijush Samui, Avijit Burman, Warit Wipulanusat, Suraparb Keawsawasvong
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Intelligent Systems with Applications
Subjects:
Liquefaction
Standard penetration test
Machine learning
LSTM
BILSTM
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305323001060

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http://www.sciencedirect.com/science/article/pii/S2667305323001060

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