Jianxi Yang
School of Information Science and Engineering , Chongqing Jiaotong University, Chongqing, 400074, People`s Republic of China
Jianting Zhou
Institute of Civil Engineering, Chongqing Jiaotong University, Chongqing, 400074, People`s Republic of China
Lizhao Wen
Expressway Construction Bureau of Qinghai Province
Li Zhang Qian
School of Information Science and Engineering , Chongqing Jiaotong University, Chongqing, 400074, People`s Republic of China
ABSTRACT
Analysis of Bridge structures state based on the vibration characteristics is gaining more and more attention. Linear theory and technology can not meet the requirements of the structural state analysis because of the nonlinear characteristics of structural materials, geometry and boundary. This study introduces the theory of chaos and the technology of chaotic time series information entropy, analysis the correlation of information entropy and its structural state and monitoring time series information from structural acceleration obtained from ASCE Benchmark model. Extracting of Approximate Entropy, K entropy and constructed information entropy index to reflect the degree of disorder system damage. Expected to use the information entropy theory to solve part of difficulty existing in the analysis of bridge structure state, Provide scientific basis and technical for Bridge structural health monitoring based on Bridge Structural health monitoring information.
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How to cite this article
Jianxi Yang, Jianting Zhou, Lizhao Wen and Li Zhang Qian, 2013. Analysis of ASCE Benchmark Structure State Based on Chaotic Time Series Information
Entropy. Information Technology Journal, 12: 5824-5829.
DOI: 10.3923/itj.2013.5824.5829
URL: https://scialert.net/abstract/?doi=itj.2013.5824.5829
DOI: 10.3923/itj.2013.5824.5829
URL: https://scialert.net/abstract/?doi=itj.2013.5824.5829
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