Predicting base resistance of super-long piles using a random forest model: A case study from Ho Chi Minh city
Kailiang Weng,
Mincai Jia
Abstract:The prediction of the base resistance for long piles is usually challenging because of the impact of material characteristics and the influence of the nature of the surrounding soil. Artificial intelligence models have been applied in various geotechnical engineering fields, and significant results have been achieved. Based on a well-instrumented static load test dataset (1131 data points) from various projects in the soft soil area of Ho Chi Minh City, this study established a random forest (RF) model conside… Show more
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