Characteristics of physical parameters and predictive modeling of mechanical properties in loess-like silty clay for engineering geology

Author:

Ma Xianfeng,Liu Zhenghao,Wang Weida,Wang Junjie,Lu Linhai,Zhou Dingyi,Zhang Hanwen

Funder

Department of Science and Technology of Shandong Province

Publisher

Elsevier BV

Reference19 articles.

1. Collapsing loess-like soil in western Saudi Arabia;Al-Harthi;J. Arid Environ.,1999

2. A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength;Armaghani;Neural Comput. Applic.,2021

3. Predicting the shear strength of reinforced concrete beams using Artificial Neural Networks;Asteris;Comput. Concr.,2019

4. A super-learner machine learning model for a global prediction of compression index in clays;Díaz;Appl. Clay Sci.,2024

5. On a unified theory for reliability-based geotechnical design;Fenton;Comput. Geotech.,2016

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