Cost minimum proportioning of non-Slump concrete mix using genetic algorithms

Rahman, M.M. and Jumaat, Mohd Zamin (2012) Cost minimum proportioning of non-Slump concrete mix using genetic algorithms. In: 3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, 2012, Xiamen.

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Abstract

This paper presents a generalized formulation for determining the optimal quantity of the materials used to produce Non-Slump Concrete with minimum possible cost. The proposed problem is formulated as a nonlinear constrained optimization problem. The proposed problem considers cost of the individual constituent material costs as well as the compressive strength and other requirement. The optimization formulation is employed to minimize the cost function of the system while constraining it to meet the compressive strength and workability requirement. The results demonstrate the efficiency of the proposed approach to reduce the cost as well as to satisfy the above requirement.

Item Type:	Conference or Workshop Item (Paper)
Funders:	UNSPECIFIED
Additional Information:	Conference code: 88899 Export Date: 6 January 2013 Source: Scopus doi: 10.4028/www.scientific.net/AMR.468-471.50 Language of Original Document: English Correspondence Address: Rahman, M.M.; Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia; email: moshiur72@siswa.um.edu.my References: Sobhani, J., Najimi, M., Pourkhorshidi, A.R., Parhizkar, T., Prediction of the compressive strength of no-slump concrete: A comparative study of regression, neural network and ANFIS models (2010) Construction and Building Materials, 24, pp. 709-718; (2002) Guide for Selecting Proportions for No-slump Concrete, , ACI-211.3 Farmington Hills (MI): American Concrete Institute; 2002; Mannonen, R., Proportioning in the ready-mix industry and the benefits of a mix design program (1995) ERMCO-95, Proceedings of the XIth European Ready Mixed Concrete Congress, pp. 177-184. , Istanbul; Kasperkiewicz, J., Optimization of concrete mix using a spreadsheet package (1995) ACI Material Journal, 91, pp. 551-559; Yeh, I.C., Design of high-performance concrete mixture using neural networks and nonlinear programming (1999) Journal of Computing in Civil Engineering, 13, pp. 36-42; Ke, C.J., Hu, Q., Jiang, P., Zhang, L., Optimum autoclaved cement concrete mix design based on flexural strength (2011) Manufacturing Process Technology, Pts 1-5, 189-193, pp. 676-679. , Z. Y. Jiang, S. Q. Li, J. M. Zeng, X. P. Liao, and D. G. Yang, Eds., ed Stafa-Zurich: Trans Tech Publications Ltd; Fan, L., Zhang, L., Li, F.H., Comparative study on HPC mix design methods (2011) High Performance Structures and Materials Engineering, Pts 1 and 2, 217-218, pp. 175-180. , M. Zhou, Ed., ed Stafa-Zurich: Trans Tech Publications Ltd; Wang, Y.D., Fan, X.C., Experimental research on physical and mechanical properties of steel fiber high-strength concrete (2011) Advances in Building Materials, 168-170, pp. 1061-1064. , Pts 1-3 L. J. Li, Ed., ed Stafa-Zurich: Trans Tech Publications Ltd; Song, X.S., Xu, G.Q., Optimum study and engineering application of mixing ratio for C50 concrete (2011) Advances in Building Materials, Pts 1-3, 168-170, pp. 537-540. , L. J. Li, Ed., ed Stafa-Zurich: Trans Tech Publications Ltd; Perera, R., Varona, F.B., Flexural and shear design of FRP plated RC structures using a genetic algorithm (2009) Journal of Structural Engineering, 135, pp. 1418-1429; Goldberg, D., (1989) Genetic Algorithms in Search, Optimization and Machine Learning, , New York: Addison Wesley New York: Addison Wesley 1989; Lian, C., Zhug, Y., Beecham, S., Modelling pervious concrete under compression loading - A discrete element approach (2011) Advances in Building Materials, Pts 1-3, 168-170, pp. 1590-1600. , L. J. Li, Ed., ed Stafa-Zurich: Trans Tech Publications Ltd; I-Cheng, Y., Computer-aided design for optimum concrete mixtures (2007) Cement and Concrete Composites, 29, pp. 193-202 Sponsors: Fujian University of Technology; Xiamen University; Fuzhou University; Huaqiao University; University of Wollongong
Uncontrolled Keywords:	Genetic algorithm, Minimization, Mix proportion, Non-Slump Concrete, Compressive strength and workability, Concrete mix, Constituent materials, Mix proportions, Nonlinear constrained optimization problems, Optimal quantity, Optimization formulations, Compressive strength, Cost engineering, Genetic algorithms, Manufacture, Mechanical properties, Optimization, Costs.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering
Depositing User:	Mr Jenal S
Date Deposited:	23 Apr 2013 00:53
Last Modified:	05 Feb 2020 04:23
URI:	http://eprints.um.edu.my/id/eprint/5871

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