..., costly, and requires careful execution. A machine learning approach is used to predict CBR of soil treated with hydrated-lime activated rice husk ash ( HARHA ). The prediction uses an algorithmic approach on A-7-6 expansive soil treated with HARHA, added from 0.1% to 12% in 0.1% increments. Using...

...Kunpeng Gao, PhD; Zhiyuan Cheng, PhD; Yihua Song, PhD; Shuhui Yin, DiplEng; Yihao Chen, DiplEng Machine learning techniques establish the relationship between inputs and outputs in numerical simulations, circumventing the need for complex modelling and post-processing. This reduces the expertise...

.... On the basis of progress in the application of machine learning methods to geotechnical engineering, the advantages and technical issues of the method to predict soil transparency are discussed. Lastly, issues that require further research are considered. (corresponding author: zhuzw@cqu.edu.cn) 23 06...