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Calibration of a New Concrete Damage Plasticity Theoretical Model Based on Experimental Parameters

Author(s):



Medium: journal article
Language(s): English
Published in: Civil Engineering Journal, , n. 2, v. 8
Page(s): 225-237
DOI: 10.28991/cej-2022-08-02-03
Abstract:

The introduction of concrete damage plasticity material models has significantly improved the accuracy with which the concrete structural elements can be predicted in terms of their structural response. Research into this method's accuracy in analyzing complex concrete forms has been limited. A damage model combined with a plasticity model, based on continuum damage mechanics, is recommended for effectively predicting and simulating concrete behaviour. The damage parameters, such as compressive and tensile damages, can be defined to simulate concrete behavior in a damaged-plasticity model accurately. This research aims to propose an analytical model for assessing concrete compressive damage based on stiffness deterioration. The proposed method can determine the damage variables at the start of the loading process, and this variable continues to increase as the load progresses until complete failure. The results obtained using this method were assessed through previous studies, whereas three case studies for concrete specimens and reinforced concrete structural elements (columns and gable beams) were considered. Additionally, finite element models were also developed and verified. The results revealed good agreement in each case. Furthermore, the results show that the proposed method outperforms other methods in terms of damage prediction, particularly when damage is calculated using the stress ratio. 

Copyright: © 2022 Alaa H. Al-Zuhairi, Ali H. Al-Ahmed, Ali A. Abdulhameed, Ammar N. Hanoon
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
    10658821
  • Published on:
    17/02/2022
  • Last updated on:
    01/06/2022
 
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