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Test analysis of detection of damage to a complicated spatial model structure

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Abstract

A two-stage damage detection approach is proposed and experimentally demonstrated on a complicated spatial model structure with a limited number of measurements. In the experiment, five known damage patterns, including 3 brace damage cases and 2 joint damage cases, were simulated by removing braces and weakening beam-column connections in the structure. The limited acceleration response data generated by hammer impact were used for system identification, and modal parameters were extracted by using the eigensystem realization algorithm. In the first stage, the possible damaged locations are determined by using the damage index and the characteristics of the analytical model itself, and the extent of damage for those substructures identified at stage I is estimated in the second stage by using a second-order eigen-sensitivity approximation method. The main contribution of this paper is to test the two-stage method by using the real dynamic data of a complicated spatial model structure with limited sensors. The analysis results indicate that the two-stage approach is able to detect the location of both damage cases, only the severity of brace damage cases can be assessed, and the reasonable analytical model is critical for successful damage detection.

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Authors and Affiliations

  1. School of Civil Engineering, Beijing Jiaotong University, 100044, Beijing, China

    Long-He Xu

  2. School of Civil Engineering, Tianjin University, 300072, Tianjin, China

    Zhong-Xian Li

  3. Department of Civil Engineering, Tsinghua University, 100084, Beijing, China

    Jia-Ru Qian

Authors
  1. Long-He Xu
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  2. Zhong-Xian Li
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  3. Jia-Ru Qian
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Corresponding author

Correspondence to Long-He Xu.

Additional information

The project was supported by the National Natural Science Foundation of China (90815025, 90715032 and 50808013).

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Xu, LH., Li, ZX. & Qian, JR. Test analysis of detection of damage to a complicated spatial model structure. Acta Mech Sin 27, 399–405 (2011). https://doi.org/10.1007/s10409-011-0437-9

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  • DOI: https://doi.org/10.1007/s10409-011-0437-9

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