Application of artificial neural network on vibration test data for damage identification in bridge girder
Structures are exposed to damage during their service life which can severely affect their safety and functionality. Thus, it is important to monitor structures for the occurrence, location and extent of damage. Artificial neural networks (ANNs) as a numerical technique have been applied increasingl...
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Main Authors: | , |
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Format: | Article |
Language: | English |
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Academic Journals
2011
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Online Access: | http://eprints.um.edu.my/9051/1/Application_of_artificial_neural_network_on_vibration_test_data_for_damage_identification_in_bridge_girder.pdf http://eprints.um.edu.my/9051/ http://www.scopus.com/inward/record.url?eid=2-s2.0-84455181467&partnerID=40&md5=e854f7d5596235b85219bbf42e18794c http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CCoQFjAA&url=http3A2F2Facademicjournals.org2Fjournal2FIJPS2Farticl |
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Institution: | Universiti Malaya |
Language: | English |
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http://eprints.um.edu.my/9051/1/Application_of_artificial_neural_network_on_vibration_test_data_for_damage_identification_in_bridge_girder.pdfhttp://eprints.um.edu.my/9051/
http://www.scopus.com/inward/record.url?eid=2-s2.0-84455181467&partnerID=40&md5=e854f7d5596235b85219bbf42e18794c http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CCoQFjAA&url=http3A2F2Facademicjournals.org2Fjournal2FIJPS2Farticl