Innovative modeling framework of chloride resistance of recycled aggregate concrete using ensemble-machine-learning methods

Kai-Hua Liu,Jia-Kai Zheng,Fernando Pacheco-Torgal,Xin-Yu Zhao

Construction and Building Materials（2022）

引用 13|浏览8

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摘要

•Innovative ML models were integrated to predict the chloride resistance of RAC.•Model interpretability was improved by SRC and partial dependence analysis.•A mixture design method and a service life prediction approach were proposed.

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关键词

NA,RA,RAC,NAC,ML,ANN,GPR,SVR,CART,RF,GBDT,CEF,RCM,RMSE,SI,MAPE,VIF,SRC,CSH

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