Robust design of self-starting drains using Random Forest  

作　　者：GE Qi LIU Zhong-qiang SUN Hong-yue LANG Dominik SHUAI Fei-xiang SHANG Yue-quan ZHANG Ying-qiu 

机构地区：[1]College of Civil Engineering and Architecture,Zhejiang University 310058 Hangzhou,China [2]Norwegian Geotechnical Institute,Oslo 0855,Norway [3]Ocean College,Zhejiang University,Zhoushan 316021,China

出　　处：《Journal of Mountain Science》2021年第4期973-989,共17页山地科学学报（英文）

基　　金：supported by the National Natural Science Foundation of China(Grant No.41772276);the Key R&D project of Zhejiang Province(Grant No.2017C03006);the Zhejiang University and the Norwegian Geotechnical Institute for funding his research stay at NGI。

摘　　要：Groundwater lowering is one of the most important countermeasures to avoid the risk of rainfall-triggered landslides.However,the long-term reliability of many drainage methods is often a matter of concern since the drains may easily get clogged.A new hydraulic-driven self-starting drainage method is presented in this paper.In the proposed Random Forest(RF)based robust design approach for the selfstarting drains,the datasets are generated using an automatically controlled numerical modeling technology.The deterministic analysis is carried out based on uncertain soil parameters and the specific designs selected using Uniform Design(UD).The ensemble of RF models is applied in the design process to improve computing efficiency.Safety requirements,design robustness,and cost efficiency are simultaneously considered utilizing multiobjective optimization.A straightforward and efficient framework that focuses on difficulties caused by an enormous design space is established for the robust design of the self-starting drains,and improved computation efficiency is achieved.The effectiveness of the proposed approach is illustrated with a case study,the Qili landslide in Zhejiang Province,China.

关 键 词：LANDSLIDES Self-starting drains Random Forest Robust geotechnical design 

分 类 号：P642.22[天文地球—工程地质学]