Assessment of leachate-contaminated clays using experimental and artificial methods  

作　　者：Hossein Moradi Moghaddam Ahmad Fahimifar Taghi Ebadi Mohsen Keramati Sumi Siddiqua 

机构地区：[1]Department of Civil&Environmental Engineering,Amirkabir University of Technology,Tehran,1591634311,Iran [2]Faculty of Civil Engineering,Shahrood University of Technology,Shahrood,3619995161,Iran [3]School of Engineering,University of British Columbia,Kelowna,V6T 1Z4,Canada

出　　处：《Journal of Rock Mechanics and Geotechnical Engineering》2025年第1期524-538,共15页岩石力学与岩土工程学报(英文)

摘　　要：The investigation of leachate-contaminated clay(LCC)is essential for landfill engineering assessment and achievement of sustainable development goals.Several static and dynamic laboratory tests,including unconfined compressive strength(UCS),California bearing ratio(CBR),and cyclic simple shear,are conducted.Cyclic simple shear experiments on LCCs were performed to evaluate the damping and shear modulus.The investigated factors are vertical load(VL),leachate content(LC),frequency(F),and shear strain(ShS)for LCC.Forensic-based investigation optimization(FBIO)and equilibrium optimizer algorithm(EOA)were utilized in addition to multiple types of ensemble models,including adaptive boosting(ADB),gradient boosting regression tree(GBRT),extreme gradient boosting(XGB) and random forest(RF).The comparison of the methods showed that GBRT-FBIO and XGB-EOA models outperformed other models for shear modulus and damping of LCC.The p-value less than 0.0001 shows the significance of the used models in the response surface methodology(RSM)method.

关 键 词：Contaminated liner Dynamic parameter Response surface methodology(RSM) Python method 

分 类 号：TD325[矿业工程—矿井建设]