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

Carlos J. Slebi-Acevedo, Pablo Pascual-Muñoz, Pedro Lastra-González, Daniel Castro-Fresno

Research output: Contribution to journalArticle

Abstract

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.
Original languageEnglish
Pages (from-to)(In-press)
JournalInternational Journal of Pavement Engineering
Volume(In-press)
Early online date26 Jul 2019
DOIs
Publication statusE-pub ahead of print - 26 Jul 2019
Externally publishedYes

Fingerprint

Asphalt concrete
Concrete mixtures
Decision making
Fibers
Asphalt mixtures
Synthetic fibers
Analytic hierarchy process
Decision support systems
Statistical methods
Monte Carlo methods
Tensile strength
Elastic moduli

Keywords

  • Asphalt concrete
  • fibres
  • FAHP
  • WASPAS
  • TOPSIS
  • Monte Carlo

Cite this

A multi-criteria decision-making analysis for the selection of fibres aimed at reinforcing asphalt concrete mixtures. / Slebi-Acevedo, Carlos J.; Pascual-Muñoz, Pablo; Lastra-González, Pedro; Castro-Fresno, Daniel.

In: International Journal of Pavement Engineering, Vol. (In-press), 26.07.2019, p. (In-press).

Research output: Contribution to journalArticle

Slebi-Acevedo, Carlos J. ; Pascual-Muñoz, Pablo ; Lastra-González, Pedro ; Castro-Fresno, Daniel. / A multi-criteria decision-making analysis for the selection of fibres aimed at reinforcing asphalt concrete mixtures. In: International Journal of Pavement Engineering. 2019 ; Vol. (In-press). pp. (In-press).
@article{7e044f2f625744318f2252747745fbdb,
title = "A multi-criteria decision-making analysis for the selection of fibres aimed at reinforcing asphalt concrete mixtures",
abstract = "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.",
keywords = "Asphalt concrete, fibres, FAHP, WASPAS, TOPSIS, Monte Carlo",
author = "Slebi-Acevedo, {Carlos J.} and Pablo Pascual-Mu{\~n}oz and Pedro Lastra-Gonz{\'a}lez and Daniel Castro-Fresno",
year = "2019",
month = "7",
day = "26",
doi = "10.1080/10298436.2019.1645848",
language = "English",
volume = "(In-press)",
pages = "(In--press)",
journal = "International Journal of Pavement Engineering",
issn = "1029-8436",
publisher = "Taylor & Francis",

}

TY - JOUR

T1 - A multi-criteria decision-making analysis for the selection of fibres aimed at reinforcing asphalt concrete mixtures

AU - Slebi-Acevedo, Carlos J.

AU - Pascual-Muñoz, Pablo

AU - Lastra-González, Pedro

AU - Castro-Fresno, Daniel

PY - 2019/7/26

Y1 - 2019/7/26

N2 - 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.

AB - 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.

KW - Asphalt concrete

KW - fibres

KW - FAHP

KW - WASPAS

KW - TOPSIS

KW - Monte Carlo

UR - https://doi.org/10.1080/10298436.2019.1645848

U2 - 10.1080/10298436.2019.1645848

DO - 10.1080/10298436.2019.1645848

M3 - Article

VL - (In-press)

SP - (In-press)

JO - International Journal of Pavement Engineering

JF - International Journal of Pavement Engineering

SN - 1029-8436

ER -