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Selecting the appropriate wavelet function in the damage detection of precast full panel building based on experimental results and wavelet analysis

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Abstract

Most building structures are gradually damaged under environmental conditions and external loads, and thus, damage is always inevitable. Hence, damage detection has been explored in many studies. Also, wavelet transform, as a powerful mathematical signal processing tool, has captured the attention of many researchers in the field of health monitoring. In this study, the health of a precast panel building is monitored based on experimental results using the continuous wavelet transform method and the possible damage to these structures is assessed. In the finite-element model, instead of simulating damage by applying force to a four-story building, an updated model using coding in matlab software, scripting with Python and optimization with optimization algorithm is used, and by analyzing the available data and experimental results in each stage, the damaged structural model is designed corresponding to the experimental model in which the damages are updated using the updating model in each stage to match the frequencies with the least error.

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Authors and Affiliations

  1. Structure Engineering, Semnan University, Semnan, Iran

    Mojtaba Hanteh

  2. Civil Engineering Department, Semnan University, Semnan, Iran

    Omid Rezaifar & Majid Gholhaki

Authors
  1. Mojtaba Hanteh
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  2. Omid Rezaifar
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  3. Majid Gholhaki
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Correspondence to Omid Rezaifar.

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Hanteh, M., Rezaifar, O. & Gholhaki, M. Selecting the appropriate wavelet function in the damage detection of precast full panel building based on experimental results and wavelet analysis. J Civil Struct Health Monit 11, 1013–1036 (2021). https://doi.org/10.1007/s13349-021-00497-6

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  • DOI: https://doi.org/10.1007/s13349-021-00497-6

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