Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Computers and Concrete Volume 24, Number 4, October 2019 , pages 329-345 DOI: https://doi.org/10.12989/cac.2019.24.4.329 |
|
|
|
Application of artificial neural networks for the prediction of the compressive strength of cement-based mortars |
||
Panagiotis G. Asteris, Maria Apostolopoulou, Athanasia D. Skentou and Antonia Moropoulou
|
||
| Abstract | ||
| Despite the extensive use of mortar materials in constructions over the last decades, there is not yet a robust quantitative method, available in the literature, which can reliably predict mortar strength based on its mix components. This limitation is due to the highly nonlinear relation between the mortar\'s compressive strength and the mixed components. In this paper, the application of artificial neural networks for predicting the compressive strength of mortars has been investigated. Specifically, surrogate models (such as artificial neural network models) have been used for the prediction of the compressive strength of mortars (based on experimental data available in the literature). Furthermore, compressive strength maps are presented for the first time, aiming to facilitate mortar mix design. The comparison of the derived results with the experimental findings demonstrates the ability of artificial neural networks to approximate the compressive strength of mortars in a reliable and robust manner. | ||
| Key Words | ||
| artificial neural networks (ANNs); cement; compressive strength; metakaolin; mortar; soft computing techniques | ||
| Address | ||
| Panagiotis G. Asteris: Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Heraklion, GR 14121, Athens, Greece Maria Apostolopoulou: Laboratory of Materials Science and Engineering, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 9 Iroon Polytechniou Street, 15780, Athens, Greece Athanasia D. Skentou: Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Heraklion, GR 14121, Athens, Greece Antonia Moropoulou: Laboratory of Materials Science and Engineering, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 9 Iroon Polytechniou Street, 15780, Athens, Greece | ||