Application of concordance analysis method (CA) for optimal selection of asphalt mixtures reinforced with rubber powder and carbon fiber

Unlike the conducted studies in the field of reinforcing the asphaltic mixture, this research has used the multi-criteria decision-making method to determine the optimal percentage of the asphalt mix, which was reinforced with rubber powder and carbon fibers. After adding different percentages of two kinds of additives, i.e. rubber powder and carbon fibers conjointly, conducting Marshall Tests, analyzing the data and plotting the needed diagrams, it was observed that adding these two additives leads to a change in the results of Marshall Tests. Analyzing the diagrams, the optimal percentages for combining the rubber powder with carbon fibers were obtained, 15% and 0.5%, respectively having the best effect on the asphalt mix. Subsequently, the extra cost caused by adding the additives to the asphalt was evaluated by conducting an economic analysis. Then, six Mar-shall Parameters were used as six indices in the concordance analysis method, which is a multi-criterion decision-making method. Ultimately, the superior alternatives were proposed according to the results of the ranking. Ac-cording to the results, the suggested alternatives differed from the estimated alternative and the concordance analysis method proposed better alternatives.