Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Piezoresistive behavior of electric arc furnace slag and graphene nanoplatelets asphalt mixtures for self-sensing pavements
Departamento de Ingeniería del Transporte, Territorio y Urbanismo, Universidad Politécnica de Madrid, C/Profesor Aranguren 3, 28040 Madrid, Spain.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering.ORCID iD: 0000-0003-0459-7433
Departamento de Ingeniería del Transporte, Territorio y Urbanismo, Universidad Politécnica de Madrid, C/Profesor Aranguren 3, 28040 Madrid, Spain.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering.ORCID iD: 0000-0001-6287-2240
Show others and affiliations
2022 (English)In: Automation in Construction, ISSN 0926-5805, E-ISSN 1872-7891, Vol. 142, article id 104534Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 142, article id 104534
Keywords [en]
Self-sensing pavements, Piezoresistive asphalt-mixtures, Autonomous SHM, Traffic detection
National Category
Infrastructure Engineering Textile, Rubber and Polymeric Materials
Research subject
Building Materials
Identifiers
URN: urn:nbn:se:ltu:diva-92931DOI: 10.1016/j.autcon.2022.104534ISI: 000848469700003Scopus ID: 2-s2.0-85136096495OAI: oai:DiVA.org:ltu-92931DiVA, id: diva2:1694871
Projects
Sensing PAVE
Note

Validerad;2022;Nivå 2;2022-09-12 (hanlid);

Funder: Spanish Ministry of Science and Innovation (PID2020-118987RB-I00); UPM (Universidad Politécnica de Madrid) ProgramaPropio 2021

Available from: 2022-09-12 Created: 2022-09-12 Last updated: 2022-09-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Buasiri, ThanyaratCwirzen, Andrzej

Search in DiVA

By author/editor
Buasiri, ThanyaratCwirzen, Andrzej
By organisation
Structural and Fire Engineering
In the same journal
Automation in Construction
Infrastructure EngineeringTextile, Rubber and Polymeric Materials

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 103 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf