Machine Learning Prediction of Mechanical Properties for Marine Coral Sand–Clay Mixtures Based on Triaxial Shear Testing

Machine Learning Prediction of Mechanical Properties for Marine Coral Sand–Clay Mixtures Based on Triaxial Shear Testing

Marine coral sand–clay mixtures (MCCM) are promising green fill materials in civil engineering projects, where their strength characteristics play a vital role in ensuring structural safety and stability. To investigate these properties, a series of triaxial shear tests were performed under diverse...

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Bibliographic Details
Main Authors: Bowen Yang, Kaiwei Xu, Zejin Wang, Haodong Sun, Peng Cui, Zhiming Chao
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Buildings
Subjects:
marine coral sand–clay mixture
strength prediction
LDA-SVM model
machine learning
triaxial shear test
Online Access:https://www.mdpi.com/2075-5309/15/14/2481
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