Complex Optimization of Heavy Duty Asphalt Pavement Types in DURABROADS Project

Gáspár, László; Castro‐Fresno, Daniel; Jato-Espino, Daniel; Indacoechea-Vega, Irune; Paeglīte, Ilze; Haritonovs, Viktors; Barrasa, R. Casado; Bencze, Zsolt; Diez, J.

doi:10.1016/j.trpro.2016.05.320

Cited by 5 publications

(1 citation statement)

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“…The opposite can occur, increasing the cost criteria/attributes and decreasing the benefit criteria/attributes. This method has been widely used in the literature, such as for programming problems (Abo-Sinna and Amer 2005), robotics (Agrawal et al 1991), civil engineering (Gáspár et al 2016, Abdel-malak et al 2017, health (Zyoud and Fuchs-Hanusch 2017) or sustainability assessment (Mulliner et al 2016), among others. This method bases its theory on the Euclidean distances of the alternatives from benefits and ideal costs (Marković 2010).…”

Section: Technique For Order Of Preference By Similarity To Ideal Sol...mentioning

confidence: 99%

A multi-criteria decision-making analysis for the selection of fibres aimed at reinforcing asphalt concrete mixtures

Slebi-Acevedo

Pascual-Muñoz

Lastra-González

2019

International Journal of Pavement Engineering

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In the last few years, fibers have been proposed as one of the most important additives for the development of reinforced asphalt mixtures. The optimal fiber selection is a very complex task, as an extensive range of criteria and alternatives have to be taken into account. Decision support systems have been applied in the construction sector, but not for selecting fibers for bituminous mixtures. To fill this gap, two Multi-Criteria Decision-Making Analysis methodologies for the selection of the best fiber to be used in Asphalt Concretes are presented in this paper. The Weighted Aggregate Sum Product Assessment (WASPAS) methodology and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) integrated with Fuzzy Analytic Hierarchy Process (FAHP) are used to evaluate the effect of various types of fibers on the mechanical performance of bituminous mixtures. Given the uncertainty involved, a stochastic simulation is proposed using the Monte Carlo method. A statistical analysis is carried out to verify the results obtained. Both methods of multi-criteria analysis were effective, with TOPSIS being slightly more conservative in the assignment of performance scores. Synthetic fibers proved to be a suitable option as did fibers with high tensile strength and elastic modulus.

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