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...
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| Veröffentlicht in: | PloS one Jg. 19; H. 4; S. e0301075 |
|---|---|
| Hauptverfasser: | , , , , , , |
| 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 |
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