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Volume 38 Issue 5
May  2012
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Journal of Beijing University of Aeronautics and Astronautics  > 2012  >  38(5): 625-629.
Liu Zhenguo, Hu Jie, Hu Longet al. Global optimization of classified composite laminated structures based on genetic algorithms[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(4): 478-483. (in Chinese)
Citation: Mu Tengfei, Zhou Li, Yin Qianget al. AQSSE method for damage identification of base-isolated structures[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(5): 625-629. (in Chinese)
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AQSSE method for damage identification of base-isolated structures

  • State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

  • Received Date: 16 Feb 2012
  • Publish Date: 30 May 2012
    Abstract
  • A new data analysis method, referred to as the adaptive quadratic sum-squares error(AQSSE) method,has been investigated for the online identification of time-varying system parameters of structures. Experimental study was conducted and presented to verify the capability of the AQSSE approach for identifying and tracking the variations of structural parameters. A base-isolated building model was tested in the laboratory. A stiffness element device was proposed to simulate the abrupt reduction of model stiffness due to damage during the tests. Both El Centro and Kobe earthquake excitations were used to drive the test model. Different damage scenarios were simulated and tested. Then the AQSSE approach was used to track the variation of the stiffness during the test based on the measured acceleration response data. The tracking results for the stiffness variations correlate well with that of the referenced values obtained by finite element method. It is concluded that the AQSSE approach is effective and accurate in tracking the variations of structural parameters leading to the detection of structural damages, including the time, location and severity of the damage.

     

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    • References(12)
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