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发布时间：2019-03-09

论文类型：期刊论文

发表时间：2013-01-01

发表刊物：STRUCTURAL CONTROL & HEALTH MONITORING

收录刊物：Scopus、EI、SCIE

卷号：20

期号：1

页面范围：107-120

ISSN号：1545-2255

关键字：damage severity identification; damage detection; correlation coefficient; assurance criterion; health monitoring; steel-truss bridge

摘要：As the final stage of damage identification, damage severity identification has great significance to structural safety assessment and decision-making in maintenance. Take the damage detection of truss structures for instance; the stochastic damage locating vector method has great advantages. However, the method is a localization technique designed to provide information in damage location only. Many present damage severity identification methods suffer from great error due to high noise. Therefore, it is imperative to develop a new identification method for truss structural health monitoring. To solve this problem, this paper presents the model updating method of damage severity identification based on four cost functions: (i) correlation coefficient of free vibration accelerations; (ii) correlation coefficient of local mode shapes; (iii) free vibration accelerations assurance criterion; and (iv) local modal assurance criterion. In these functions, correlation coefficient and correlation degree of free vibration accelerations of measured nodes are first proposed to identify damage severity. Moreover, a simple supported bailey steel-truss bridge Benchmark Model has been designed and constructed. The span is 8?m with the scaled ratio 1:25. Based on the model, both experimental and numerical simulation results using these procedures under pulse excitation indicate that they are feasible and effective. In addition, the proposed techniques exhibit high-noise insusceptibility. Copyright (c) 2011 John Wiley & Sons, Ltd.