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Data for Developing Machine Learning Models to Predict Base Resistance of Pile Foundation

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/11029734
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This data was collected from 86 static pile load tests across 37 different high-rise buildings in Vietnam, especially soft soil region in Mekong Delta (Ho Chi Minh City). The data was used to develop machine learning models to predict base resistance of piles. Further details can be found in publication: "Influence of Settlement on Base Resistance of Long Piles in Soft Soil—Field and Machine Learning Assessments", Link: https://www.mdpi.com/2673-7094/4/2/25. Recommended citation: Nguyen, Thanh T., Viet D. Le, Thien Q. Huynh, and Nhu H.T. Nguyen. 2024. "Influence of Settlement on Base Resistance of Long Piles in Soft Soil—Field and Machine Learning Assessments" Geotechnics 4, no. 2: 447-469. https://doi.org/10.3390/geotechnics4020025
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2024-05-10
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