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A Database-Driven and Machine Learning-Based Approach for Estimating Consolidation Parameters and Drainage Conditions Using CPTu Data
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A Database-Driven and Machine Learning-Based Approach for Estimating Consolidation Parameters and Drainage Conditions Using CPTu Data
Home
Publications
Online Library
A Database-Driven and Machine Learning-Based Approach for Estimating Consolidation Parameters and Drainage Conditions Using CPTu Data
Publication Title
A Database-Driven and Machine Learning-Based Approach for Estimating Consolidation Parameters and Drainage Conditions Using CPTu Data
Authors
Iman Entezari
;
James Sharp
;
Dallas McGowan
;
Jason T. DeJong
Published In
21st International Conference on Soil Mechanics and Geotechnical Engineering (Vienna)
Theme
TC309
DOI
https://doi.org/10.53243/ICSMGE2026-730
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