中国农村水利水电Issue(4)：59-64,6.DOI:10.12396/znsd.2500831
考虑变形效应量间随机效应的水工混凝土结构安全监控模型
Safety Monitoring Model for Hydraulic Concrete Structures Considering Random Effects of Deformation
摘要
Abstract
In-depth analysis of deformation monitoring data of hydraulic concrete structures is one of the most important means to assess their real-time operational state.However,due to the complex environmental conditions under which these structures typically operate,nonlinear coupling relationships often exist among deformation monitoring points,making direct quantification challenging.To address this issue,an adaptive X-means clustering algorithm is first employed to group multiple deformation monitoring points of a given hydraulic concrete structure.Then,based on stochastic analysis theory,the synergistic relationships among various monitoring points within strongly correlated groups are extracted.The statistical characteristics of these correlations are incorporated into the traditional set of deformation-influencing factors.Using the measured values of one point within a correlated group as the input variable,a multi-kernel least squares support vector regression(MK-LSSVR)model is applied to capture the nonlinear relationships between input and output variables.This approach establishes a deformation monitoring model for hydraulic concrete structures,and its effectiveness in improving monitoring accuracy is validated through relevant evaluation metrics.关键词
随机分析/多测点相关性/MK-LSSVR算法/X-meansKey words
stochastic analysis/multi-measurement point correlation/MK-LSSVR algorithm/X-means分类
建筑与水利引用本文复制引用
卢青法,眭萍,张怀俊,金洪建,李森林,杨孟,李金友..考虑变形效应量间随机效应的水工混凝土结构安全监控模型[J].中国农村水利水电,2026,(4):59-64,6.基金项目
国家重点研发计划(2024YFC3214903),江苏省自然科学基金(BK20241743) （2024YFC3214903）
湖南省水利科技项目(XSKJ2024064-50,XSKJ2022068-07),中央基本业务费项目(Y424013,Y423006,Y422003). （XSKJ2024064-50,XSKJ2022068-07）
