Efficient machine learning method for evaluating compressive strength of cement stabilized soft soil

Chen Zhang,Zhiduo Zhu,Fa Liu, Yang Yang,Yu Wan,Wangwen Huo,Liu Yang

Construction and Building Materials（2023）

Cited 4|Views8

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Abstract

•A database containing 566 cement soil samples is developed by literature collection.•The compressive strength of cement soil can be better predicted by extreme gradient boosting model.•The cement content, water content, curing age and fine grain are the main feature variables influencing the compressive strength of cement soil.

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Key words

Cement stabilized soft soil, Compressive strength, Machine learning, Performance evaluation, Shaply additve explanations, Partial dependence plots

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