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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

刘华仁 佟大威 余佳 苏哲

水力发电学报2025,Vol.44Issue(2):107-115,9.
水力发电学报2025,Vol.44Issue(2):107-115,9.DOI:10.11660/slfdxb.20250209

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

刘华仁 1佟大威 1余佳 1苏哲1

作者信息

  • 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
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摘要

Abstract

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

Key words

high earth-rockfill dam/modal parameter/stochastic subspace/stability diagram/fuzzy C-

分类

建筑与水利

引用本文复制引用

刘华仁,佟大威,余佳,苏哲..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[J].水力发电学报,2025,44(2):107-115,9.

基金项目

天津市自然科学基金青年项目(22JCQNJC01150) (22JCQNJC01150)

水力发电学报

OA北大核心

1003-1243

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