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Seismic damage diagnosis in adjacent steel and RC MRFs considering pounding effects through improved wavelet-based damage-sensitive feature

Abstract

This paper aims to propose complex Morlet (cmorfb-fc) wavelet-based refined damage-sensitive feature (rDSF) as a new and more precise damage indicator to diagnose seismic damages in adjacent steel and Reinforced Concrete (RC) Moment Resisting Frames (MRFs) assuming pounding conditions using acceleration responses. The considered structures include 6- and 9-story steel and 4- and 8-story RC benchmark MRFs that are assumed to have different values of separation distances, δMT, calculated according to the ASCE 7-10 seismic provision. For the sake of pounding modelling, linear viscoelastic contact elements among the pounding structures are assumed. Furthermore, an algorithm is developed to compute the seismic collapse capacities of each pounding MRF through Incremental Dynamic Analyses (IDA) using OpenSees software. In the next step, auto-regressive movingaverage with exogenous input (ARX) model together with a stabilization diagram is utilized to appraise the natural frequencies of each adjacent MRF. Shannon entropies and correlation coefficient (ρ) are used to select the best cmorfb-fc wavelet. Based on the results, damage resulting from pounding effects can be accurately detected in both cases of with and without δMT, especially for steel MRFs.

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Authors (4)

  • Photo of  Benyamin Mohebi

    Benyamin Mohebi

  • Photo of  Omid Yazdanpanah

    Omid Yazdanpanah

  • Photo of  Farzin Kazemi

    Farzin Kazemi

    • Imam Khomeini International University
  • Photo of  Antonio Formisano

    Antonio Formisano

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Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Journal of Building Engineering no. 33,
ISSN: 2352-7102
Language:
English
Publication year:
2021
Bibliographic description:
Mohebi B., Yazdanpanah O., Kazemi F., Formisano A.: Seismic damage diagnosis in adjacent steel and RC MRFs considering pounding effects through improved wavelet-based damage-sensitive feature// Journal of Building Engineering -Vol. 33, (2021), s.101847-
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.jobe.2020.101847
Verified by:
Gdańsk University of Technology

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