Tecnura (Jan 2023)

A Multi-Criteria analysis for decision-making in the selection of an asphalt mixture on pavements

  • Edgar H. Sánchez-Cotte,
  • Noé Villegas Flores,
  • Sara del Rocio Ochoa Averos,
  • Yelinca Nalena Saldeño Madero

DOI
https://doi.org/10.14483/22487638.18929
Journal volume & issue
Vol. 27, no. 75
pp. 89 – 112

Abstract

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Objective: This research presents a novel multi-criteria methodology that allows evaluating two asphalt materials used in the paving sector, aiming to provide guidelines for selecting a material under a sustainable profile. This methodological tool allows evaluating characteristics and indicators associated with the behavior of an asphalt mixture in an integrated and consistent way as well as with environmental impact. Methodology: A sustainability parameter associated with the study of two materials from the paving sector was obtained. The main characteristics of a hot asphalt mixture and a cold mixture under the same contour conditions were evaluated. Regarding the multi-criteria model, the concept of decision theory was taken, supported by the MIVES methodology and the utility function, thus allowing to evaluate and compare the indicators proposed for this analysis case. Results: The sustainability index was obtained for the two materials studied. The cold asphalt mixture obtained a value of 0,76, representing an overall better performance in the three axes analyzed (environmental, economic, and operation). On the other hand, the hot mixture obtained an index of 0,57, a value inherent to a less positive response than the cold mixture. Conclusions: The developed methodology allowed for the incorporation of variables and indicators of different units of measurement and diverse nature. Obtaining a sustainability index in asphalt materials represents a significant advance in the application of multi-criteria methodologies.

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