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dc.contributor.authorSlebi Acevedo, Carlos Josées_ES
dc.contributor.authorPascual Muñoz, Pablo es_ES
dc.contributor.authorLastra González, Pedro es_ES
dc.contributor.authorCastro Fresno, Daniel es_ES
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.description.abstractFor the optimum design of a Porous Asphalt (PA) mixture, different requirements in terms of functionality and durability have to be fulfilled. In this research, the influence of different control factors such as binder type, fiber content, and binder content were statistically investigated in terms of multiple responses such as total air voids, interconnected air voids, particle loss in dry conditions, particle loss in wet conditions, and binder drainage. The experiments were conducted based on a Taguchi L18 orthogonal array. The best parametric combination per each response was analyzed through signal to noise ratio values. Multiple regression models were employed to predict the responses of the experiments. As more than one response is obtained, a multi-objective optimization was performed by employing Criteria Importance through Criteria Inter-Correlation (CRITIC) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methodologies. The weights for the selection of the functional and mechanical performance criteria were derived from the CRITIC approach, whereas the ranking of the different experiments was obtained through the TOPSIS technique. According to the CRITIC-TOPSIS based Taguchi methodology, the optimal multiple-response was obtained for a polymer modified binder (PMB) with fiber and binder contents of 0.15% and 5.0%, respectively. In addition, good results were obtained when using a conventional 50/70 penetration grade binder with a 5.0% binder content and 0.05% fiber content.es_ES
dc.description.sponsorshipFORESEE project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 769373.es_ES
dc.format.extent25 p.es_ES
dc.publisherMDPI AGes_ES
dc.rightsAttribution 4.0 International*
dc.sourceMaterials 2019, 12(22), 3789es_ES
dc.titleMulti-Response Optimization of Porous Asphalt Mixtures Reinforced with Aramid and Polyolefin Fibers Employing the CRITIC-TOPSIS Based on Taguchi Methodologyes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/769373/EU/Future proofing strategies FOr RESilient transport networks against Extreme Events/FORESEE/es_ES

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Attribution 4.0 InternationalExcept where otherwise noted, this item's license is described as Attribution 4.0 International