Modeling the influence of lime on the unconfined compressive strength of reconstituted graded soil using advanced machine learning approaches for subgrade and liner applications

In the field of soil mechanics, especially in transportation and environmental geotechnics, the use of machine learning (ML) techniques has emerged as a powerful tool for predicting and understanding the compressive strength behavior of soils especially graded ones. This is to overcome the sophistic...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one Jg. 19; H. 4; S. e0301075
Hauptverfasser: Guo, Xinghuang, Garcia, Cesar, Andrade Valle, Alexis Ivan, Onyelowe, Kennedy, Zarate Villacres, Andrea Natali, Ebid, Ahmed M., Hanandeh, Shadi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 02.04.2024
Public Library of Science (PLoS)
Schlagworte:
ISSN:1932-6203, 1932-6203
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!