{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T22:17:04Z","timestamp":1777933024527,"version":"3.51.4"},"reference-count":77,"publisher":"SAGE Publications","issue":"10","license":[{"start":{"date-parts":[[2016,10,20]],"date-time":"2016-10-20T00:00:00Z","timestamp":1476921600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Vibration and Control"],"published-print":{"date-parts":[[2018,5]]},"abstract":"<jats:p>Detecting structural damage in operational conditions still encounters some difficulties, especially in early-stage, as environmental varieties impose challenges in real engineering applications and may require large computational efforts in the structural health monitoring and potential maintenance. Unlike conventional strategies employing frequency response function or response data, a damage detection methodology is addressed in this study by employing transmissibility functions that retains a strong interrelation with structural damage or deterioration, in order to avoid the measurement of excitation, together with principal component analysis that leads to reduction in computational costs. In this procedure, transmissibility is extracted from the structural responses and main features are selected by principal component analysis for less computational costs. Then, via distance measures damage indicators are constructed for both intact and damaged states, and finally a numerical simulation with a clamped-clamped beam and a four-story benchmark are adopted to verify the applicability of the proposed procedure. The results demonstrate a good performance in structural damage detection.<\/jats:p>","DOI":"10.1177\/1077546316674544","type":"journal-article","created":{"date-parts":[[2016,10,19]],"date-time":"2016-10-19T22:04:08Z","timestamp":1476914648000},"page":"2001-2019","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":79,"title":["Damage detection using transmissibility compressed by principal component analysis enhanced with distance measure"],"prefix":"10.1177","volume":"24","author":[{"given":"Yun-Lai","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, National University of Singapore"}]},{"given":"Nuno MM","family":"Maia","sequence":"additional","affiliation":[{"name":"LAETA, IDMEC, Instituto Superior T\u00e9cnico, University of Lisbon, Portugal"}]},{"given":"Magd","family":"Abdel Wahab","sequence":"additional","affiliation":[{"name":"Division of Computational Mechanics, Ton Duc Thang University, Ho Chi Minh City, Vietnam"},{"name":"Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam"},{"name":"Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde, Belgium"}]}],"member":"179","published-online":{"date-parts":[[2016,10,20]]},"reference":[{"key":"bibr1-1077546316674544","unstructured":"ASCE Benchmark Group (2010) Available at: http:\/\/wusceel.cive.wustl.edu\/asce.shm\/benchmarks.htm (accessed May 2010)."},{"key":"bibr2-1077546316674544","doi-asserted-by":"publisher","DOI":"10.1016\/j.engstruct.2014.01.044"},{"key":"bibr3-1077546316674544","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2010.04.009"},{"key":"bibr4-1077546316674544","doi-asserted-by":"publisher","DOI":"10.1177\/1475921703002002005"},{"key":"bibr5-1077546316674544","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2008.09.008"},{"key":"bibr6-1077546316674544","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-460X(03)00113-5"},{"key":"bibr7-1077546316674544","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2012.04.004"},{"key":"bibr8-1077546316674544","unstructured":"Chen Q, Chan YW, Worden K and Tomlinson GR (1994) Structural fault detection using neural networks trained on transmissibility functions.\n                      Proceedings of the International Conference on Vibration Engineering\n                      , Beijing, China, 1994, pp. 456\u2013646."},{"key":"bibr9-1077546316674544","doi-asserted-by":"publisher","DOI":"10.1016\/S0045-7949(03)00295-5"},{"key":"bibr10-1077546316674544","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.01.020"},{"key":"bibr11-1077546316674544","doi-asserted-by":"crossref","unstructured":"Cottrell JA, Hughes TJR and Bazilevs Y (2009)\n                      Isogeometric analysis: toward integration of CAD and FEA\n                      . 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PhD thesis, Technical University of Madrid, Spain, 2015."},{"key":"bibr73-1077546316674544","doi-asserted-by":"publisher","DOI":"10.1002\/stc.1743"},{"key":"bibr74-1077546316674544","doi-asserted-by":"crossref","unstructured":"Zhou Y-L, Figueiredo E, Maia N and Perera R (2015b) Damage detection and quantification using transmissibility coherence analysis.\n                      Shock and Vibration\n                      ; Article ID 290714.","DOI":"10.1155\/2015\/290714"},{"key":"bibr75-1077546316674544","unstructured":"Zhou Y-L, Perera R and Sevillano E (2012) Damage identification from power spectrum density transmissibility.\n                      Proceedings of the 6th European Workshop on Structural Health Monitoring\n                      ; July 2012, Dresden, Germany."},{"key":"bibr76-1077546316674544","unstructured":"Zhou Y-L and Perera R (2014) Transmissibility based damage assessment by intelligent algorithm.\n                      Proceedings of the 9th European Conference on Structural Dynamics (EURODYN 2014)\n                      ; June 2014, Oporto, Portugal."},{"key":"bibr77-1077546316674544","unstructured":"Zhou Y-L, Maia N, Sampaio R, Qian X and Wahab WA (2016) Damage detection via transmissibility enhanced with similarity analysis and principal component analysis.\n                      Proceedings of the 2016 Leuven Conference on Noise and Vibration Engineering (ISMA 2016)\n                      ; September 2016, Leuven, Belgium."}],"container-title":["Journal of Vibration and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1077546316674544","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1077546316674544","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1077546316674544","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T01:36:34Z","timestamp":1777685794000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/1077546316674544"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,20]]},"references-count":77,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2018,5]]}},"alternative-id":["10.1177\/1077546316674544"],"URL":"https:\/\/doi.org\/10.1177\/1077546316674544","relation":{},"ISSN":["1077-5463","1741-2986"],"issn-type":[{"value":"1077-5463","type":"print"},{"value":"1741-2986","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10,20]]}}}