水力发电学报2024，Vol.43Issue(5)：54-67,14.DOI:10.11660/slfdxb.20240506
考虑监测数据时序特征和空间分布的堆石坝参数反演研究
Study on parameter inversion of rockfill dams considering time series features and spatial distribution of monitoring data
摘要
Abstract
With the advancement of safety monitoring technology,new technologies,such as the flexible intelligent displacement meter and pipeline robot,have been increasingly employed in the safety monitoring of rockfill dams.Over the lifespan of a high rockfill dam,an extensive amount of monitoring data has been accumulated.Using these data to conduct parameter inversion analysis can help enhance the accuracy of numerical simulations of rockfill dams and improve assessment of dam safety.This study develops a new method for using time series clustering to identify the representative and diverse sets of measurement points from the vast monitoring data.This method extracts time series features to construct an objective function that captures the spatiotemporal evolution characteristics of deformation in rockfill dams,and adopts a multi-objective optimization algorithm to perform material parameter inversion for each zone of the rockfill dam.Compared to the conventional methods of parameter inversion,it enables systematic use of a substantial amount of rockfill dam monitoring data,effectively capturing the deformation development and spatial distribution characteristics in the filling,impounding,and operational stages.The calculations of dam settlement obtained through the inversion analysis exhibit a favorable agreement with the measurements,demonstrating a significant improvement in the accuracy of parameter inversion.关键词
堆石坝/监测数据/时序特征/参数反演/测点优选/多目标优化Key words
rockfill dam/monitoring data/time series feature/parameter inversion/measuring point selection/multi-objective optimization分类
水利科学引用本文复制引用
程欣悦,马刚,张贵科,艾志涛,程勇刚,王桥,周伟..考虑监测数据时序特征和空间分布的堆石坝参数反演研究[J].水力发电学报,2024,43(5):54-67,14.基金项目
国家重点研发计划项目课题(2022YFC3005504) （2022YFC3005504）
国家自然科学基金项目(52179141) （52179141）
雅砻江流域水电开发有限公司资助项目(No.0023-20XJ0011) （No.0023-20XJ0011）
