Structural Health Monitoring allows an automated performance assessment of buildingsand infrastructures, both during their service lives and after critical events, such as earthquakes orlandslides. The strength of this technology is in the diffuse nature of the sensing outputs that canbe achieved for a full-scale structure. Traditional sensors adopted for monitoring purposes possesspeculiar drawbacks related to placement and maintenance issues. Smart construction materials,which are able to monitor their states of strain and stress, represent a possible solution to theseissues, increasing the durability and reliability of the monitoring system through embedding or thebulk fabrication of smart structures. The potentialities of such novel sensors and systems are basedon their reliability and flexibility. Indeed, due to their peculiar characteristics, they can combinemechanical and sensing properties. We present a study on the optimization and the characterizationof construction materials doped with different types of fillers for developing a novel class of sensorsable to correlate variations of external strains to variations of electrical signals. This paper presents theresults of an experimental investigation of composite samples at small and medium scales, made ofcementitious materials with carbon-based inclusions. Different from a previous work by the authors,different carbon-based filler composite sensors are first compared at a small cubic sample scale andthen tailored for larger plate specimens. Possible applications are in the strain/stress monitoring,damage detection, and load monitoring of concrete buildings and infrastructures.

Smart Infrastructure Monitoring through Self-Sensing Composite Sensors and Systems: A Study on Smart Concrete Sensors with Varying Carbon-Based Filler

D’Alessandro, Antonella
;
Birgin, Hasan Borke;Cerni, Gianluca;Ubertini, Filippo
2022

Abstract

Structural Health Monitoring allows an automated performance assessment of buildingsand infrastructures, both during their service lives and after critical events, such as earthquakes orlandslides. The strength of this technology is in the diffuse nature of the sensing outputs that canbe achieved for a full-scale structure. Traditional sensors adopted for monitoring purposes possesspeculiar drawbacks related to placement and maintenance issues. Smart construction materials,which are able to monitor their states of strain and stress, represent a possible solution to theseissues, increasing the durability and reliability of the monitoring system through embedding or thebulk fabrication of smart structures. The potentialities of such novel sensors and systems are basedon their reliability and flexibility. Indeed, due to their peculiar characteristics, they can combinemechanical and sensing properties. We present a study on the optimization and the characterizationof construction materials doped with different types of fillers for developing a novel class of sensorsable to correlate variations of external strains to variations of electrical signals. This paper presents theresults of an experimental investigation of composite samples at small and medium scales, made ofcementitious materials with carbon-based inclusions. Different from a previous work by the authors,different carbon-based filler composite sensors are first compared at a small cubic sample scale andthen tailored for larger plate specimens. Possible applications are in the strain/stress monitoring,damage detection, and load monitoring of concrete buildings and infrastructures.
2022
File in questo prodotto:
File Dimensione Formato  
DAlessandro_etal_Infrastructure_2022.pdf

accesso aperto

Descrizione: Versione dell'editore
Tipologia di allegato: PDF-editoriale
Licenza: Creative commons
Dimensione 4.7 MB
Formato Adobe PDF
4.7 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1508126
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 19
  • ???jsp.display-item.citation.isi??? 16
social impact