中南大学学报（自然科学版）2012，Vol.43Issue(9)：3601-3608,8.
基于数据驱动的应变模态参数随机子空间识别法
Data based stochastic subspace identification for structural strain modal parameter
摘要
Abstract
Based on the stochastic state-space model with strains and strain change rates as state variables, the data based stochastic subspace method for strain modal parameter identification was established like the one with displacement modal parameter identification, which can be used in the strain modal parameter identification for the structure under ambient excitation. A numerical-simulation and an experimented example were used to verify the identification method. The results of numerical example show that the strain models identified by the method proposed in this work are in good agreement with the theory models, and is very sensitive to local damage of the structure even with high noise level, therefore, it can be used in health monitor successfully for real structures. The identified strain model of experimented example agrees well with the theory model, which further demonstrates the practicability of the proposed method.关键词
应变模态/数据驱动/随机子空间/参数识别Key words
strain modal/data-based method/stochastic subspace/parameter identification分类
交通工程引用本文复制引用
肖祥,任伟新,戴恩彬..基于数据驱动的应变模态参数随机子空间识别法[J].中南大学学报（自然科学版）,2012,43(9):3601-3608,8.基金项目
国家自然科学基金资助项目(51078357) （51078357）
