Techno Press
You logged in as. Techno Press

Advances in Concrete Construction
  Volume 13, Number 6, June 2022 , pages 411-422
DOI: https://doi.org/10.12989/acc.2022.13.6.411
 


Effect of aggregate mineralogical properties on high strength concrete modulus of elasticity
Mustafa Kaya, M. Aydin Kömür and Erçin Gürsel

 
Abstract
    Aggregates mineralogical, and petrographic properties directly affect the mechanical properties of the produced high strength. This study is focused on the effects of magmatic, sedimentary, and metamorphic aggregates on the performance of high strength concrete. In this study, the effect of the mineralogical properties of aggregates on the compressive strength and modulus of elasticity of high-strength concrete was estimated by Artifical Neural Network (ANN). To estimate the compressive strength and elasticity modules, 96 test specimens were produced. After 28 days under suitable conditions, tests were carried out to determine the compressive strength and modulus of elasticity of the test specimens. This study also focused on the application of artificial neural networks (ANN) to predict the 28-day compressive strength and the modulus of elasticity of high-strength concrete. An ANN model is developed, trained, and tested by using the available test data obtained from the experimental studies. The ANN model is found to predict the modulus of elasticity, and 28 days compressive strength of high strength concrete well, within the ranges of the input parameters. These comparisons show that ANNs have a strong potential to predict the compressive strength and modulus of elasticity of high-strength concrete over the range of input parameters considered.
 
Key Words
    aggregate mineralogical properties; artificial neural network; compressive strength; high strength concrete; modulus of elasticity
 
Address
Mustafa Kaya, M. Aydin Kömür and Erçin Gürsel: Faculty of Engineering, Aksaray University, Aksaray, Turkey
 
References
    -acc1306001-
 

Techno-Press: Publishers of international journals and conference proceedings.       Copyright © 2025 Techno Press
P.O. Box 33, Yuseong, Daejeon 305-600 Korea, Tel: +82-42-828-7996, Fax : +82-42-828-7997, Email: admin@techno-press.com