RT Journal Article
T1 Multi-Criteria Selection of Additives in Porous Asphalt Mixtures Using Mechanical, Hydraulic, Economic, and Environmental Indicators
A1 Gupta, Anik
A1 Slebi-Acevedo, Carlos J.
A1 Lizasoain-Arteaga, Esther
A1 Rodriguez-Hernandez, Jorge
A1 Castro-Fresno, Daniel
AB Porous asphalt (PA) mixtures are more environmentally friendly but have lower durabilitythan dense-graded mixtures. Additives can be incorporated into PA mixtures to enhancetheir mechanical strength; however, they may compromise the hydraulic characteristics, increasethe total cost of pavement, and negatively affect the environment. In this paper, PA mixtures wereproduced with 5 different types of additives including 4 fibers and 1 filler. Their performances werecompared with the reference mixtures containing virgin bitumen and polymer-modified bitumen.The performance of all mixes was assessed using: mechanical, hydraulic, economic, and environmentalindicators. Then, the Delphi method was applied to compute the relative weights for theparameters in multi-criteria decision-making methods. Evaluation based on distance from averagesolution (EDAS), technique for order of the preference by similarity to ideal solution (TOPSIS), andweighted aggregated sum product assessment (WASPAS) were employed to rank the additives.According to the results obtained, aramid pulp displayed comparable and, for some parameterssuch as abrasion resistance, even better performance than polymer-modified bitumen, whereascellulose fiber demonstrated the best performance regarding sustainability, due to economic andenvironmental benefits.
PB Multidisciplinary Digital Publishing Institute (MDPI)
YR 2021
FD 2021-02-17
LK http://hdl.handle.net/11556/1085
UL http://hdl.handle.net/11556/1085
LA eng
NO Gupta, Anik, Carlos J. Slebi-Acevedo, Esther Lizasoain-Arteaga, Jorge Rodriguez-Hernandez, and Daniel Castro-Fresno. “Multi-Criteria Selection of Additives in Porous Asphalt Mixtures Using Mechanical, Hydraulic, Economic, and Environmental Indicators.” Sustainability 13, no. 4 (February 17, 2021): 2146. doi:10.3390/su13042146.
NO This work and the APC are funded by SAFERUP! Project, from the European Union’s Horizon 2020 research and innovation program under, the Marie Skłodowska-Curie grant agreement No. 765057.
DS TECNALIA Publications
RD 1 jul 2024