A Knowledge-based system for mix design of concrete containing pozzolanic materials

Muhammad Fauzi Mohd. Zain, Hashem Al-Mattarneh, S. N. Rama, H. B. Mahmud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Design of concrete mixtures is the process of selecting the most economical and practical proportions of all the ingredients to produce quality concrete. Because of the nature of the mix design process and all the heuristic knowledge that is associated with it, concrete mix design lends itself well to a knowledge-based application. This paper describes a prototype knowledge-based system called HPCMIX that can be used to load the experimental data, develop several statistical models to determine the responses, evaluate the predicted models, and predict the 28 days strength and slump. It can also be used to design HPC mix proportions that are subjected to specified constraints (e.g. strength and slump). It is capable of selecting proportions of mixing water, cement, supplementary cementitious materials, aggregates and superplasticizer, with consideration being given to the effects of air content as well as water contributed by superplasticizer and moisture conditions of aggregates. As most of knowledge-based systems, this system has explanation facilities, can be incrementally expanded, and has an easy to understand knowledge base. The system was tested on a sample project. The system's selection of the concrete proportions compared favourably with the expert's selection. The system is very useful for civil engineering students as well as practicing engineers.

Original languageEnglish
Title of host publicationProceedings of the AEI 2008 Conference - AEI 2008: Building Integration Solutions
Volume328
Publication statusPublished - 2008
EventAEI 2008 Conference - AEI 2008: Building Integration Solutions - Denver, CO
Duration: 24 Sep 200826 Sep 2008

Other

OtherAEI 2008 Conference - AEI 2008: Building Integration Solutions
CityDenver, CO
Period24/9/0826/9/08

Fingerprint

Knowledge based systems
Concretes
Concrete mixtures
Civil engineering
Water content
Cements
Moisture
Students
Engineers
Air
Water

Keywords

  • High performance concrete
  • Knowledge-based system
  • Mix design
  • Statistical analysis
  • Superplasticizer

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Architecture

Cite this

Mohd. Zain, M. F., Al-Mattarneh, H., Rama, S. N., & Mahmud, H. B. (2008). A Knowledge-based system for mix design of concrete containing pozzolanic materials. In Proceedings of the AEI 2008 Conference - AEI 2008: Building Integration Solutions (Vol. 328)

A Knowledge-based system for mix design of concrete containing pozzolanic materials. / Mohd. Zain, Muhammad Fauzi; Al-Mattarneh, Hashem; Rama, S. N.; Mahmud, H. B.

Proceedings of the AEI 2008 Conference - AEI 2008: Building Integration Solutions. Vol. 328 2008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohd. Zain, MF, Al-Mattarneh, H, Rama, SN & Mahmud, HB 2008, A Knowledge-based system for mix design of concrete containing pozzolanic materials. in Proceedings of the AEI 2008 Conference - AEI 2008: Building Integration Solutions. vol. 328, AEI 2008 Conference - AEI 2008: Building Integration Solutions, Denver, CO, 24/9/08.
Mohd. Zain MF, Al-Mattarneh H, Rama SN, Mahmud HB. A Knowledge-based system for mix design of concrete containing pozzolanic materials. In Proceedings of the AEI 2008 Conference - AEI 2008: Building Integration Solutions. Vol. 328. 2008
Mohd. Zain, Muhammad Fauzi ; Al-Mattarneh, Hashem ; Rama, S. N. ; Mahmud, H. B. / A Knowledge-based system for mix design of concrete containing pozzolanic materials. Proceedings of the AEI 2008 Conference - AEI 2008: Building Integration Solutions. Vol. 328 2008.
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