基于模糊聚类和随机子空间的高土石坝模态参数自动识别  

Automatic modal parameter identification of high earth-rockfill dams based on MSFCM-SSI

作　　者：刘华仁 佟大威[1] 余佳[1] 苏哲 LIU Huaren;TONG Dawei;YU Jia;SU Zhe(State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation,Tianjin University,Tianjin 300350,China)

机构地区：[1]天津大学水利工程智能建设与运维全国重点实验室,天津300350

出　　处：《水力发电学报》2025年第2期107-115,共9页Journal of Hydroelectric Engineering

基　　金：天津市自然科学基金青年项目(22JCQNJC01150)。

摘　　要：高土石坝由于体积庞大、结构复杂等特点,其模态参数识别难度大,为后续动力分析带来挑战。本文根据地震实测数据,提出了基于模态稳定函数的模糊C均值聚类算法,并结合协方差驱动的随机子空间法形成了MSFCM-SSI的模态参数自动识别方法。该方法实现了坝体模态参数的准确、自动识别,避免传统人工挑选特征导致的误差。通过二自由度数值模型与二维土坝有限元模型验证了提出的模态参数识别方法的有效性和准确性,并将该方法应用于两河口高心墙堆石坝的模态参数识别,证明其在实际工程中的适用性,为高土石坝抗震分析提供参考。Owing to the large volume and complex structure of high earth-rockfill dams,identifying their modal parameters is challenging,posing difficulties to subsequent dynamic analysis.Based on earthquake measurement data,this paper presents a fuzzy C-means clustering algorithm that is based on modal stability functions,and constructs a new method of automatic modal parameter identification,namely MSFCM-SSI,by combining the algorithm with a covariance-driven stochastic subspace identification method.This new method achieves accurate and automatic identification of dam modal parameters,avoiding errors associated with traditional manual selection.Its effectiveness and accuracy are validated through application to a two-degree-of-freedom numerical model and an earth dam¢s two-dimensional finite element model.It is then used to identifying the modal parameters of the Lianghekou high-core rockfill dam,demonstrating its applicability and advantage in practical seismic analysis of high earth-rockfill dams.

关 键 词：高土石坝 模态参数 随机子空间 稳定图 模糊C均值聚类 

分 类 号：TV323[水利工程—水工结构工程] TV641.1