水力发电2025，Vol.51Issue(6)：31-38,8.
基于监测数据驱动的库区滑坡蠕变参数智能反演分析
Intelligent Inversion of Creep Parameters of Landslide in Reservoir Area Driven by Monitoring Data
摘要
Abstract
Aiming at the inversion of mechanical parameters of the landslide in reservoir area,an intelligent inversion method of creep parameters combined with deformation trend component is proposed.Firstly,the deformation law and stability of landslide are analyzed through the geological data and the monitoring data.Then,combined with the variational modal decomposition(VMD),the trend component of landslide surface deformation is separated,and the constitutive equation considering landslide creep is determined and the proxy model of deformation trend component and creep parameters is established.Subsequently,the multi-strategy improved norher goshawk optimization(MSNGO)algorithm is used to invert the real creep parameters of the landslide.The analysis results of the landslide in a reservoir area show that the creep mechanical parameters of the landslide in reservoir area can be calculated more accurately through the MSNGO inversion after separating the trend variables.关键词
库区滑坡/监测数据/参数反演/蠕变参数/改进北方苍鹰算法/变形趋势分量Key words
landslide in reservoir area/monitoring data/parameter inversion/creep parameter/improved northern goshawk algorithm/deformation trend component分类
水利科学引用本文复制引用
董志豪,黄海锋,字林,葛鹏,杨春旭,赵二峰,黎祎..基于监测数据驱动的库区滑坡蠕变参数智能反演分析[J].水力发电,2025,51(6):31-38,8.基金项目
国家自然科学基金资助项目(52079046) （52079046）
云南省水利水电工程安全重点实验室项目(202302AN360003) （202302AN360003）
