Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5874
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dc.contributor.authorPekedis, Mahmut-
dc.contributor.authorMascerañas, David-
dc.contributor.authorTuran, Gürsoy-
dc.contributor.authorErcan, Emre-
dc.contributor.authorFarrar, Charles R.-
dc.contributor.authorYıldız, Hasan-
dc.date.accessioned2017-07-06T11:22:45Z-
dc.date.available2017-07-06T11:22:45Z-
dc.date.issued2015-08-01-
dc.identifier.citationPekedis, M., Mascerañas, D., Turan, G., Ercan, E., Farrar, C.R., and Yıldız, H. (2015). Structural health monitoring for bolt loosening via a non-invasive vibro-haptics human-machine cooperative interface. Smart Materials and Structures, 24(8). doi:10.1088/0964-1726/24/8/085018en_US
dc.identifier.issn0964-1726-
dc.identifier.issn1361-665X-
dc.identifier.urihttps://doi.org/10.1088/0964-1726/24/8/085018-
dc.identifier.urihttp://hdl.handle.net/11147/5874-
dc.description.abstractFor the last two decades, developments in damage detection algorithms have greatly increased the potential for autonomous decisions about structural health. However, we are still struggling to build autonomous tools that can match the ability of a human to detect and localize the quantity of damage in structures. Therefore, there is a growing interest in merging the computational and cognitive concepts to improve the solution of structural health monitoring (SHM). The main object of this research is to apply the human-machine cooperative approach on a tower structure to detect damage. The cooperation approach includes haptic tools to create an appropriate collaboration between SHM sensor networks, statistical compression techniques and humans. Damage simulation in the structure is conducted by releasing some of the bolt loads. Accelerometers are bonded to various locations of the tower members to acquire the dynamic response of the structure. The obtained accelerometer results are encoded in three different ways to represent them as a haptic stimulus for the human subjects. Then, the participants are subjected to each of these stimuli to detect the bolt loosened damage in the tower. Results obtained from the human-machine cooperation demonstrate that the human subjects were able to recognize the damage with an accuracy of 88 ± 20.21% and response time of 5.87 ± 2.33 s. As a result, it is concluded that the currently developed human-machine cooperation SHM may provide a useful framework to interact with abstract entities such as data from a sensor network.en_US
dc.description.sponsorshipEge University, Office of Scientific Research Projects (12-MUH-046); Council of higher education of Turkey in Los Alamos National Laboratoryen_US
dc.language.isoenen_US
dc.publisherIOP Publishing Ltd.en_US
dc.relation.ispartofSmart Materials and Structuresen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDamage diagnosisen_US
dc.subjectDamage sensationen_US
dc.subjectHapticsen_US
dc.subjectSensory substitutionen_US
dc.subjectStructural health monitoringen_US
dc.titleStructural health monitoring for bolt loosening via a non-invasive vibro-haptics human-machine cooperative interfaceen_US
dc.typeArticleen_US
dc.authoridTR115938en_US
dc.institutionauthorTuran, Gürsoy-
dc.departmentİzmir Institute of Technology. Civil Engineeringen_US
dc.identifier.volume24en_US
dc.identifier.issue8en_US
dc.identifier.wosWOS:000358686000019en_US
dc.identifier.scopus2-s2.0-84938077713en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1088/0964-1726/24/8/085018-
dc.relation.doi10.1088/0964-1726/24/8/085018en_US
dc.coverage.doi10.1088/0964-1726/24/8/085018en_US
dc.identifier.wosqualityQ1-
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept03.03. Department of Civil Engineering-
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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