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ORCID: https://orcid.org/0000-0002-1595-5665, Buasiri, Thanyarat
ORCID: https://orcid.org/0000-0003-0459-7433, Apaza Apaza, Freddy Richard
ORCID: https://orcid.org/0000-0002-7053-7917, Cwirzen, Andrzej
ORCID: https://orcid.org/0000-0001-6287-2240 and Gallego Medina, Juan
ORCID: https://orcid.org/0000-0002-1343-3185
(2022).
Piezoresistive behavior of electric arc furnace slag and graphene nanoplatelets asphalt mixtures for self-sensing pavements.
"Automation in Construction", v. 142
;
p. 104534.
ISSN 09265805.
https://doi.org/10.1016/j.autcon.2022.104534.
| Título: | Piezoresistive behavior of electric arc furnace slag and graphene nanoplatelets asphalt mixtures for self-sensing pavements |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Automation in Construction |
| Fecha: | 1 Octubre 2022 |
| ISSN: | 09265805 |
| Volumen: | 142 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | ASPHALT MIXTURES; Autonomous SHM; Autonomous structural health monitoring; Concrete; Design; Electric arc furnace slags; Electric arcs; Electric Furnaces; Fibers; Graphene; Graphene nanoplatelets; Graphite; Mixtures; Pavements; Performance; Piezo-resistive; Piezo-resistive behavior; Piezoresistive asphalt -mixtures; Piezoresistive asphalt-mixture; Piezoresistive asphalt-mixtures; Self -sensing pavements; Self-sensing; Self-sensing pavement; Self-sensing pavements; Sensors; Slags; structural health monitoring; Structural health monitoring systems; Traffic detection |
| Escuela: | E.T.S.I. Caminos, Canales y Puertos (UPM) |
| Departamento: | Ingeniería del Transporte, Territorio y Urbanismo |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Self-sensing road pavements can autonomously monitor their stress/strain and damage states without the need for embedded sensors. This kind of multifunctional pavements could be used for the realisation of autonomous structural health monitoring (SHM) systems. Moreover, it would permit to collect important traffic data for traffic-monitoring analysis and the development of Vehicle to Infrastructure Communication (V2I) tools, hence contributing to the digitalisation of the transport sector. The sensing mechanism is based on the piezoresistive effect, consisting of a change in the electrical response of the road material when subjected to stress/strain or damage. This paper aims to investigate the piezoresistive behavior of conductive asphalt mixtures with electric arc furnace slag (EAFS) and graphene nanoplatelets (GNPs) for self-sensing application. The results showed that asphalt mixtures with EAFS as fine aggregate and 7 wt% of GNPs exhibited excellent self-sensing properties for both traffic monitoring and SHM systems.
| ID de Registro: | 93332 |
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| Identificador DC: | https://oa.upm.es/93332/ |
| Identificador OAI: | oai:oa.upm.es:93332 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/9955922 |
| Identificador DOI: | 10.1016/j.autcon.2022.104534 |
| URL Oficial: | https://www.sciencedirect.com/science/article/pii/... |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 23 Ene 2026 15:03 |
| Ultima Modificación: | 23 Ene 2026 15:03 |
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