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Energetski baziran trodimenzionalni indeks oštećenja za praćenje i otkrivanje oštećenja na betonskim građevinama (Energy based three-dimensional damage index for monitoring and damage detection of concrete structures)

Author(s):
Medium: journal article
Language(s): Croatian
Published in: Građevinar, , n. 12, v. 73
Page(s): 1223-1237
DOI: 10.14256/jce.2428.2018
Abstract:

A novel approach to active structural health monitoring and damage detection of massive reinforced concrete structures using piezoelectric smart aggregates is presented in this paper. An innovative three-dimensional damage index, based on wavelet signal decomposition and energy of wave propagation, is derived in matrix form. Although the proposed three-dimensional damage index can be used for all types of reinforced concrete structures, it is primarily recommended for massive infrastructure buildings. The approach proposed in this paper is theoretically considered for an arbitrary shape of a reinforced concrete element, and it is numerically verified for various scenarios by varying the geometry of reinforced concrete elements, as well as the position, size and quantity of damage. Quasi-static analysis of piezoelectric smart aggregates is modelled using a standard finite element method, and the explicit finite element method is successfully applied in this research for modelling propagation of ultrasonic waves. The results based on numerically generated simulations indicate that the new approach to non-destructive damage detection using three-dimensional damage indexes is quite promising. However, an experimental verification of the proposed damage index will certainly be required in future research.

Copyright: © 2021 Stjepan Lakusic,
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10656484
  • Published on:
    17/02/2022
  • Last updated on:
    10/05/2023
 
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