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Damage detection and model updating wall 3D panel structures

Credit to Download: 1 | Page Numbers 13 | Abstract Views: 446
Year: 2014
COI code: ICSAU02_0587
Paper Language: English

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Authors Damage detection and model updating wall 3D panel structures

  omid rezaee far - Assistant Professer of Civil Engineer Departman, semnan university
  saman sarkhosh - M.Sc Civil Engineer, semnan university
  mohsen talebi kojidi - M.Sc Civil Engineer, semnan university


Detection of damage in engineering structures during their service life has received increasing attention from researchers in the last years. Exact structural damage detection is a challenging problem due to the nonlinear behavior of structures, incomplete sensed data and presence of noise in the data. Information on the location and extent of damages could assist in the diagnosis of the structural health conditions. In current study, modal tests were implemented for 3 wall sandwich panels and subsequent frequency results and mode shapes were recorded for two undamaged and damaged states. Then, their correlation with MAC (Modal Assurance Criteria) was investigated. Comparison of frequency and mode shapes indicates occurrence of damage in panels. Furthermore, amount of damage was calculated by modeling undamaged and damaged wall panels in finite element (FE) software and defining defect detection algorithms.


Damage detection, Model updating, 3D panel, MAC coeffication

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COI code: ICSAU02_0587

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rezaee far, omid; saman sarkhosh & mohsen talebi kojidi, 2014, Damage detection and model updating wall 3D panel structures, 2nd international congress of structure, architecture and urban development, تبريز, دبيرخانه دائمي كنگره بين المللي سازه ، معماري و توسعه شهري, the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (rezaee far, omid; saman sarkhosh & mohsen talebi kojidi, 2014)
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The University/Research Center Information:
Type: state university
Paper No.: 7390
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