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Decision on coarse aggregates borrow sources of concrete.pdf

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Decision on coarse aggregates borrow sources of concrete

KSCE Journal of Civil Engineering (2011) 15(6):965-973 DOI 10.1007/s12205-011-1182-0 ? 965 ? /12205 Construction Management Decision on Coarse Aggregates Borrow Sources of Concrete Mojtaba Golestanifar* and Kaveh Ahangari** Received April 6, 2010/Revised August 15, 2010/Accepted November 9, 2010 ··································································································································································································································· Abstract Mineral aggregate as a stable, inexpensive, and available material has a fundamental role in engineering behaviors of concrete and its economy. When incompetent and conflicting decision-making criteria such as technical, economic, environmental, and so forth are realized in choosing borrow sources, the problem becomes so complicated that decision-making would be impossible for project planner. In this study, a new model has been developed for evaluating and selecting the optimum borrow source of concrete aggregate using fuzzy multi attribute decision-making techniques. Fuzzy modifications of Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods have been applied to assess and rank the possible alternatives in uncertain environment. Achievements and results of the developed method have been demonstrated through a real-world case study of coarse aggregate for Sangabad reservoir dam in Iran. Keywords: mineral coarse aggregates; borrow source, multi attribute decision-making, fuzzy sets ··································································································································································································································· 1. Introduction The quality of construction materials especially concrete is of vital importance for achieving the short and long-term performance of infrastructural urbaniz