High performance concrete mixture proportioning: multi-objective optimization approach

Authors

  • Nguyen Viet Duc
    Industrial University of Ho Chi Minh City, Viet Nam
  • Nguyen Hoang Minh
    Industrial University of Ho Chi Minh City, Viet Nam

Keywords:

High performance concrete; mix proportion; multi-objective optimization; Pareto solution; Visual Interactive Analysis Method; VIAM.

Abstract

This paper presents the application of multi-objective optimization approach to high performance concrete mixture proportioning. An integrated mathematical model was developed in order to optimize six criteria, which are the chlorine ion diffusion coefficient, per cubic meter cost, the amount of cement, fly ash, slag, chemical admixture. This model needs to satisfy with ten functional constraints and seven design variables. The Visual Interactive Analysis Method (VIAM) was used to solve the multicriteria task. Eventually, twelve solutions have been found for the different cases in terms of criteria during the process of proportioning high performance concrete mixture. They are all Pareto solutions, which allow experts to choose in the proposed cases.

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References

Aitcin, P.C. (2000). Cements of yesterday and today: Concrete of tomorrow. Cement and Concrete Research 30 (9), 1349–1359.

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Hassan, K.E., Cabrera, J.G., Maliehe, R.S. (2000). The effect of mineral admixtures on the properties of highperformance concrete. Cement and Concrete Composites, 22 (4), 267–271.

Neville, A.M. and Aitcin, P.C. (1998). High-performance concrete - An overview. Materials and Structures, 31 (3), 111 – 117.

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Received: 04-06-2020
Accepted: 04-06-2020
Published: 07-12-2016

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How to Cite

Duc, N. V., & Minh, N. H. (2016). High performance concrete mixture proportioning: multi-objective optimization approach. HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, 6(2), 65–76. Retrieved from https://journalofscience.ou.edu.vn/index.php/tech-en/article/view/389