{rfName}
Pi

Indexed in

License and use

Citations

51

Altmetrics

Grant support

This study has been financed by the research project Sensing PAVE (PID2020-118987RB-I00) of the Spanish Ministry of Science and Innovation and by UPM (Universidad Politecnica de Madrid) Programa Propio 2021 "Ayudas al personal investigador en formacion predoctoral contratado o becado OTT para realizar una estancia de investigacion internacional para la obtencion de la mencion internacional de doctorado".

Analysis of institutional authors

Gallego Medina, JuanAuthorGulisano, FCorresponding AuthorApaza, FraAuthorGallego, JAuthor

Share

September 12, 2022
Publications
>
Article
No

Piezoresistive behavior of electric arc furnace slag and graphene nanoplatelets asphalt mixtures for self-sensing pavements

Publicated to:Automation In Construction. 142 104534- - 2022-08-18 142(), DOI: 10.1016/j.autcon.2022.104534

Authors: Gulisano, Federico; Buasiri, Thanyarat; Apaza, Freddy Richard Apaza; Cwirzen, Andrzej; Gallego, Juan

Affiliations

Lulea Univ Technol, Dept Civil Environm & Nat Resources Engn, Bldg Mat, S-97187 Lulea, Sweden - Author
Univ Politecn Madrid, Dept Ingn Transporte Terr & Urbanismo, C-Prof Aranguren 3, Madrid 28040, Spain - Author

Abstract

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.

Keywords

Asphalt mixturesAutonomous shmAutonomous structural health monitoringConcreteDesignElectric arc furnace slagsElectric arcsElectric furnacesFibersGrapheneGraphene nanoplateletsGraphiteMixturesPavementsPerformancePiezo-resistivePiezo-resistive behaviorPiezoresistive asphalt -mixturesPiezoresistive asphalt-mixturePiezoresistive asphalt-mixturesSelf -sensing pavementsSelf-sensingSelf-sensing pavementSelf-sensing pavementsSensorsSlagsStructural health monitoringStructural health monitoring systemsTraffic detection

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Automation In Construction due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2022, it was in position 2/139, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Civil. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.15. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.91 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 12.28 (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-04, the following number of citations:

  • WoS: 15
  • Scopus: 27

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-04:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 54 (PlumX).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Sweden.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (GULISANO, FEDERICO) and Last Author (GALLEGO VELA, JULIO).

the author responsible for correspondence tasks has been GULISANO, FEDERICO.