重庆大学学报Issue(6)：107-114,8.DOI:10.11835/j.issn.1000-582X.2015.06.015
基于区间分析的框架结构不确定性损伤识别方法
Damage detection considering uncertainties based on interval analysis
摘要
Abstract
A damage detection method for uncertainty quantification using interval analysis is explored in this study.A vector auto-regression (VAR)model is established on the basis of the structural acceleration response data from the test.The Mahalanobis distance is extracted from the main diagonal of the coefficient matrix of VAR model and is adopted as the damage characteristic index.On the basis of particle swarm optimization (PSO),an interval optimization method is established,and its performance is compared with two traditional methods using a non-convex function.The damage location and damage degree are identified by interval overlap index and interval nominal value respectively.Both the numerical simulation and a laboratory frame structure test show that the presence and the severity of damage can be confidently detected even with a few data.关键词
损伤识别/不确定性/区间分析/向量自回归模型/粒子群算法Key words
damage detection/uncertainty/interval analysis/vector auto-regression(VAR)model/particle swarm optimization(PSO)分类
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秦阳,李英民..基于区间分析的框架结构不确定性损伤识别方法[J].重庆大学学报,2015,(6):107-114,8.基金项目
重庆市自然科学基金项目（CSTC2012JJA30006）；中央高校基金项目（CDJRC10200018，CDJZR14205501）。Supported by Natural Science Foundation of Chongqing（CSTC2012JJA30006）and the Fundamental Research Funds for the Central Universities （CDJRC10200018，CDJZR14205501）． （）
