標題: Damage detection of structures with detrended fluctuation and detrended crosscorrelation analyses
作者: Lin, Tzu-Kang
Fajri, Haikal
土木工程學系
Department of Civil Engineering
關鍵字: structural health monitoring;fractal analysis;detrended fluctuation analysis;detrended cross-correlation analysis
公開日期: 1-三月-2017
摘要: Recently, fractal analysis has shown its potential for damage detection and assessment in fields such as biomedical and mechanical engineering. For its practicability in interpreting irregular, complex, and disordered phenomena, a structural health monitoring (SHM) system based on detrended fluctuation analysis (DFA) and detrended cross-correlation analysis (DCCA) is proposed. First, damage conditions can be swiftly detected by evaluating ambient vibration signals measured from a structure through DFA. Damage locations can then be determined by analyzing the cross correlation of signals of different floors by applying DCCA. A damage index is also proposed based on multi-scale DCCA curves to improve the damage location accuracy. To verify the performance of the proposed SHM system, a four-story numerical model was used to simulate various damage conditions with different noise levels. Furthermore, an experimental verification was conducted on a seven-story benchmark structure to assess the potential damage. The results revealed that the DFA method could detect the damage conditions satisfactorily, and damage locations can be identified through the DCCA method with an accuracy of 75%. Moreover, damage locations can be correctly assessed by the damage index method with an improved accuracy of 87.5%. The proposed SHM system has promising application in practical implementations.
URI: http://dx.doi.org/10.1088/1361-665X/aa59d7
http://hdl.handle.net/11536/144320
ISSN: 0964-1726
DOI: 10.1088/1361-665X/aa59d7
期刊: SMART MATERIALS AND STRUCTURES
Volume: 26
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