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Comparison Between Numerical Modeling Approaches of Infilled Frames Under In-Plane Load

Author(s):

Medium: journal article
Language(s): English
Published in: Frontiers in Built Environment, , v. 7
DOI: 10.3389/fbuil.2021.783051
Abstract:

In the last few decades, important attention was given to infill masonry panels due to their worldwide uses. Many experimental and numerical studies were conducted to study their effect on the behavior of RC frames. In general, three modeling strategies are widely applied to model infill masonry, namely, micro-models, meso-models, and macro-models. This study investigates the accuracy of the width models to predict the behavior of masonry infills using the meso-modeling technique. To this aim, the masonry infills are modeled as an equivalent homogenized diagonal element in order to represent the diagonal action of masonry infills. The width models used to determine the width of the diagonal strut are used in meso-modeling. In addition, the study contains comparisons between different modeling techniques to predict the global behavior of the infilled frames. Experimental tests conducted on two infilled frames from the literature are considered to calibrate the numerical simulations. The results indicate that the micro-modeling approach gives a good agreement with the experimental tests in terms of lateral force and deformation shapes, the related errors varying between 0.12 and 2.8%. Using single strut models, the differences between numerical and experimental results vary from 1.1 to 20%. On the other hand, the errors obtained from multiple strut models are varying between 9 and 40%.

Copyright: © 2021 Mohammed Amin Bouarroudj, Zeineddine Boudaoud
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
    10662267
  • Published on:
    28/03/2022
  • Last updated on:
    01/06/2022
 
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