Rockfill material uncertainty inversion analysis of concrete-faced rockfill dams using stacking ensemble strategy and Jaya optimizer
作者机构：State Key Laboratory of Hydraulic Engineering Simulation and SafetyTianjin UniversityTianjin 300350China Bei Fang InvestigationDesign&Research Co.LtdTianjin 300222China
出 版 物：《Water Science and Engineering》 (水科学与水工程（英文版）)
年 卷 期：2023年第16卷第4期
页 面：419-428页
核心收录：
学科分类：0711[理学-系统科学] 081504[工学-水利水电工程] 08[工学] 0818[工学-地质资源与地质工程] 0903[农学-农业资源与环境] 0815[工学-水利工程] 0714[理学-统计学（可授理学、经济学学位）] 0814[工学-土木工程] 0811[工学-控制科学与工程] 0701[理学-数学]
基 金：supported by the National Natural Science Foundation of China(Grants No.51879185 and 52179139) the Open Fund of the Hubei Key Laboratory of Construction and Management in Hydropower Engineering(Grant No.2020KSD06)
主 题：CFRD Uncertainty inversion analysis Stochastic finite element Surrogate model Stacking ensemble Jaya algorithm
摘 要：Numerical simulation of concrete-faced rockfill dams(CFRDs)considering the spatial variability of rockfill has become a popular research topic in recent *** order to determine uncertain rockfill properties efficiently and reliably,this study developed an uncertainty inversion analysis method for rockfill material parameters using the stacking ensemble strategy and Jaya *** comprehensive implementation process of the proposed model was described with an illustrative CFRD ***,the surrogate model method using the stacking ensemble algorithm was used to conduct the Monte Carlo stochastic finite element calculations with reduced computational cost and improved ***,the Jaya algorithm was used to inversely calculate the combination of the coefficient of variation of rockfill material *** optimizer obtained higher accuracy and more significant uncertainty reduction than traditional ***,the developed model effectively identified the random parameters of rockfill *** study provided scientific references for uncertainty analysis of *** addition,the proposed method can be applied to other similar engineering structures.
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