Proceedings of the 2016 International Conference on Architectural Engineering and Civil Engineering

Compressive Strength Prediction of Roller-compacted Concrete Using Nondestructive Tests through Artificial Intelligence

Authors
Mohammad Ali HADIANFARD, Ali Reza NIKMOHAMMADI
Corresponding Author
Mohammad Ali HADIANFARD
Available Online December 2016.
DOI
https://doi.org/10.2991/aece-16.2017.76How to use a DOI?
Keywords
roller-compacted concrete; nondestructive test; Schmidt hammer; ultrasonic test; artificial intelligence
Abstract

Roller-Compacted Concrete (RCC) is a type of concrete that has similar basic ingredients to conventional concrete but contains much less water and is known as non-slump concrete. Nondestructive testing (NDT) is a very good choice to evaluate the quality and strength of such concretes as RCC. These testes are easy, fast and efficient and are also of low cost. The aim of this study is estimation of compressive strength of RCC by offering suitable mathematical formulations based on results of nondestructive tests. For this purpose, many samples of RCC with and without fibers are made and tested by concrete breaking machines and nondestructive techniques including Schmidt hammer and ultrasonic tests. Finally, by the aid of Artificial Intelligence (AI) concepts, and using the values from nondestructive and destructive testes suitable relations were found. In practical projects by doing nondestructive tests and without performing destructive testes, the RCC compressive strength can be calculated from the proposed relations with high accuracy. If both Schmidt hammer and ultrasonic tests are used simultaneously, the accuracy increases.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Architectural Engineering and Civil Engineering
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
978-94-6252-298-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/aece-16.2017.76How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mohammad Ali HADIANFARD
AU  - Ali Reza NIKMOHAMMADI
PY  - 2016/12
DA  - 2016/12
TI  - Compressive Strength Prediction of Roller-compacted Concrete Using Nondestructive Tests through Artificial Intelligence
BT  - Proceedings of the 2016 International Conference on Architectural Engineering and Civil Engineering
PB  - Atlantis Press
SP  - 344
EP  - 348
SN  - 2352-5401
UR  - https://doi.org/10.2991/aece-16.2017.76
DO  - https://doi.org/10.2991/aece-16.2017.76
ID  - HADIANFARD2016/12
ER  -