Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation

Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation

The major criteria that control pile foundation design is pile bearing capacity (P<sub>u</sub>). The load bearing capacity of piles is affected by the various characteristics of soils and the involvement of multiple parameters related to both soil and foundation. In this study, a new mod...

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Bibliographic Details
Main Authors: Maaz Amjad, Irshad Ahmad, Mahmood Ahmad, Piotr Wróblewski, Paweł Kamiński, Uzair Amjad
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
pile bearing capacity
machine learning
extreme gradient boosting
adaptive boosting
random forest
decision tree
Online Access:https://www.mdpi.com/2076-3417/12/4/2126

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https://www.mdpi.com/2076-3417/12/4/2126

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