Integrating Machine Learning in Geotechnical Engineering: A Novel Approach for Railway Track Layer Design Based on Cone Penetration Test Data
The cone penetration test (CPT) has emerged as a cost-effective and time-efficient method for assessing soil conditions relevant to railway track infrastructure. The geotechnical data obtained from the CPT serve as crucial input for asset managers in designing optimal sublayers and form layers for t...
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| Главный автор: | |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2024-07-01
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| Серии: | Infrastructures |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2412-3811/9/8/121 |
| Метки: |
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