Probabilistic Framework for Ground Movement Induced by Shield Tunnelling in Soft Soil Based on Gap Parameter
Numerical simulation and machine learning-based methods are frequently adopted when performing ground movement probabilistic analyses, considering the various uncertainties during shield tunnelling. However, numerical simulation takes time, while machine learning lacks interpretation somehow. New me...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2025-09-01
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| シリーズ: | Applied Sciences |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2076-3417/15/17/9835 |
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