基于ASCE SHM Benchmark模型的两阶段结构损伤识别方法  

A Two-stage Damage Detection Method with Application to the Phase Ⅰ ASCE SHM Benchmark Building

作　　者：刘朝[1] 雷鹰[1] 

机构地区：[1]厦门大学建筑与土木工程学院,福建厦门361005

出　　处：《厦门大学学报（自然科学版）》2011年第1期60-64,共5页Journal of Xiamen University：Natural Science

基　　金：国家高技术研究发展计划(863计划)(2007AA04Z420)

摘　　要：近年来,一种激励未知和输出部分已知条件下结构局部损伤识别的新方法得以提出,这种方法能基于子结构思想进行复杂结构的局部损伤识别,基于此方法,提出两阶段的损伤识别策略,并将其应用于第1阶段ASCE SHMbench-mark模型的case 4的4种损伤识别,以检验此方法的有效性.在第1阶段,提出8-DOF的损伤模型以进行损伤层的定位;第2阶段,利用子结构的思想,提出12-DOF的损伤模型,在包含损伤层的子结构中对损伤进行准确识别和定位.采用扩展卡尔曼方法对增广状态向量进行估计并使用最小二乘对未知激励进行递推,识别未知激励下的结构物理参数.损伤识别的结果显示,此方法能高精度地识别benchmark模型的各种损伤情形.Recently,a new method has been proposed by the authors for detecting structural local damage under limited input and output measurements.This method can be extended to detect structural local damage in complex structures based on substructure approach.In this paper,based on this structural damage detection and localization method,a two-stage damage detection strategy is developed with application to the ASCE SHM benchmark building to test its efficacy and provide a systemic solution to the Phase I benchmark problem for damage detection.In the first stage,an 8-DOF identification model is used to identify the floors and directions（X or Y） in which damages are present.Then,the detection is focused on the floors where damage occurs.A substructure approach is utilized for damage localization in the second stage.A 12-DOF identification model is used for the substructure containing the damaged structural floors to identify the exact locations of damage.Structural parameters and the unknown inputs are identified by a recursive algorithm based on sequential application of the Kalman extended estimator for the extended state vector and the least squares estimation for the unknown inputs.Only a limited number of measured acceleration responses of the benchmark structure subject to unmeasured excitation inputs are utilized.Damage detection results indicate that the new method can detect and localize various damage patterns of the benchmark problems with good accuracy.

关 键 词：结构损伤识别 两阶段策略 SHM BENCHMARK模型 子结构方法 扩展卡尔曼估计 最小二乘估计 

分 类 号：TU317[建筑科学—结构工程]