• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 26 Issue 5
Oct.  2013
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Article Contents
LIU Liu, YAN Yunju, CHANG Xiaotong, XI Zhuyou. Structure Damage Detection Method Based on Adaptive Stochastic Resonance Technology and Response Sensitivity Method[J]. Journal of Southwest Jiaotong University, 2013, 26(5): 818-824. doi: 10.3969/j.issn.0258-2724.2013.05.006
Citation: LIU Liu, YAN Yunju, CHANG Xiaotong, XI Zhuyou. Structure Damage Detection Method Based on Adaptive Stochastic Resonance Technology and Response Sensitivity Method[J]. Journal of Southwest Jiaotong University, 2013, 26(5): 818-824. doi: 10.3969/j.issn.0258-2724.2013.05.006

Structure Damage Detection Method Based on Adaptive Stochastic Resonance Technology and Response Sensitivity Method

doi: 10.3969/j.issn.0258-2724.2013.05.006
  • Received Date: 11 Dec 2012
  • Publish Date: 25 Oct 2013
  • In order to solve the structural damage identification problem in strong noise environment, a two-step approach based on nonlinear denoising and damage location was proposed. In the first step, structural excitation response and background noise are processed through the nonlinear stochastic resonance system for enhancing the response signal. In the second step, local minor damage is defined as Young's modulus reduction, and the sensitivity of responses to the unit Young's modulus is worked out. Then the Young's modulus is revised to locate the damage in the structure. Numerical examples show that this method can well realize structural damage location under 50% background noise level, with the identification error rate being less than 0.2% for single damage and less than 0.5% for multiple damage.

     

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