Alternative Estimation of Effective Young’s Modulus for Lightweight Aggregate Concrete LWAC

Authors

  • Meriem Fakhreddine Bouali Department of Civil Engineering, Faculty of Sciences & Technology, University of Mohamad Cherif Messaadia, Souk Ahras, 41000, Algeria https://orcid.org/0000-0002-6986-980X
  • Hima Abdelkader Department of Electrical Engineering , Faculty of Technology , University of El-Oued, 39000, Algeria. https://orcid.org/0000-0002-5533-3991

DOI:

https://doi.org/10.3221/IGF-ESIS.52.07

Keywords:

Analytic model, Concrete, Young’s modulus, Lightweight aggregate, Two-phase

Abstract

The prediction of effective mechanical properties of composite materials using analytical models is of significant practical interest in situations in which tests are impossible, difficult, or costly. Many experimental and numerical works are attempting to predict the elastic properties of Lightweight Aggregate Concrete (LWAC). In order to choose the optimized prediction composite model, the purpose of this paper is to appraise the effective Young’s modulus of LWAC using two-phase composite models. To this effect, results of previous experimental research have used as a platform, upon which, 07 two-phase composite models were applied. The outcomes of this comparative analysis show that not all two-phase analytical models can be directly used for predicting Young’s modulus of LWAC. The Hashin-Hansen and Counto2 models are in close concordance with the experimental Young’s modulus of all LWAC used for comparison in this study. Thus, the precision of this prediction model demonstrates its effectiveness and potential application as a model for Lightweight Aggregate Concrete. They were found more appropriate for reasonable prediction of elasticity modules of the LWAC.

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Published

04-02-2020

Issue

Section

Analytical, Numerical and Physical Models

Categories

How to Cite

Alternative Estimation of Effective Young’s Modulus for Lightweight Aggregate Concrete LWAC. (2020). Frattura Ed Integrità Strutturale, 14(52), 82-97. https://doi.org/10.3221/IGF-ESIS.52.07