Smart sensing skin for detection and localization of fatigue cracks

dc.contributor.author Kharroub, Sari
dc.contributor.author Laflamme, Simon
dc.contributor.author Song, Chunhui
dc.contributor.author Qiao, Daji
dc.contributor.author Phares, Brent
dc.contributor.author Li, Jian
dc.contributor.department Department of Civil, Construction and Environmental Engineering
dc.date 2018-02-16T11:36:13.000
dc.date.accessioned 2020-06-30T01:13:49Z
dc.date.available 2020-06-30T01:13:49Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2015
dc.date.embargo 2016-03-10
dc.date.issued 2015-03-10
dc.description.abstract <p>Fatigue cracks on steel components may have strong consequences on the structure's serviceability and strength. Their detection and localization is a difficult task. Existing technologies enabling structural health monitoring have a complex link signal-to-damage or have economic barriers impeding large-scale deployment. A solution is to develop sensing methods that are inexpensive, scalable, with signals that can directly relate to damage. The authors have recently proposed a smart sensing skin for structural health monitoring applications to mesosystems. The sensor is a thin film soft elastomeric capacitor (SEC) that transduces strain into a measurable change in capacitance. Arranged in a network configuration, the SEC would have the capacity to detect and localize damage by detecting local deformation over a global surface, analogous to biological skin. In this paper, the performance of the SEC at detecting and localizing fatigue cracks in steel structures is investigated. Fatigue cracks are induced in steel specimens equipped with SECs, and data measured continuously. Test results show that the fatigue crack can be detected at an early stage. The smallest detectable crack length and width are 27.2 and 0.254 mm, respectively, and the average detectable crack length and width are 29.8 and 0.432 mm, respectively. Results also show that, when used in a network configuration, only the sensor located over the formed fatigue crack detect the damage, thus validating the capacity of the SEC at damage localization.</p>
dc.description.comments <p>This is a manuscript of an article from <em>Smart Materials and Structures</em>; 24(6)2015;1-16. Doi: <a href="http://dx.doi.org/10.1088/0964-1726/24/6/065004" target="_blank">10.1088/0964-1726/24/6/065004</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ccee_pubs/83/
dc.identifier.articleid 1075
dc.identifier.contextkey 7184113
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ccee_pubs/83
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/13995
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ccee_pubs/83/2015_LaflammeS_MANU_SmartSensingSkin.pdf|||Sat Jan 15 02:09:23 UTC 2022
dc.source.uri 10.1088/0964-1726/24/6/065004
dc.subject.disciplines Civil Engineering
dc.subject.disciplines Construction Engineering and Management
dc.subject.disciplines Electrical and Electronics
dc.subject.disciplines Signal Processing
dc.subject.disciplines Structural Engineering
dc.subject.keywords CNDE
dc.subject.keywords Electrical and Computer Engineering
dc.subject.keywords Bridge Engineering Center
dc.title Smart sensing skin for detection and localization of fatigue cracks
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 84547f08-8710-4934-b91e-ba5f46ab9abe
relation.isAuthorOfPublication 8b93968a-ab26-4f19-a894-680b189823b9
relation.isOrgUnitOfPublication 933e9c94-323c-4da9-9e8e-861692825f91
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