Comparison of existing damage detection algorithms on Structural Health Monitoring

Show simple item record Tan, Haozhi en Ma, Tsun Ming Quincy en Beskhyroun, S en Wotherspoon, Liam en Simkin, Gye en
dc.coverage.spatial Santiago, Chile en 2017-09-26T01:31:21Z en 2017-01-12 en
dc.identifier.citation 16th World Conference on Earthquake Engineering, 16WCEE 2017, Santiago, Chile, 09 Jan 2017 - 13 Jan 2017. en
dc.identifier.uri en
dc.description.abstract This paper presents an operational assessment of existing damage detection algorithms for structural health monitoring (SHM) of building structures. This project assumed the typical SHM scenario involving continuous structural vibration recording using accelerometers. This study compared six established stiffness based damage detection algorithms utilising the ASCE benchmark instrumented structure dataset. This will be one of the first studies comparing the effectiveness of current damage detection algorithms using the benchmark data. The analyses indicate that all six considered damage detection algorithms have no difficulty in detecting the existence of the damage. Additionally, the identified stiffnesses using PP, FDD, EFDD methods were the most accurate for identifying the damage severity. The AR-ARX model was the least accuracy in estimating the stiffness amongst the six methods. All six algorithms were sensitive to modelling errors, while ANN and AR-ARX model techniques were sensitive to loading condition. en
dc.description.uri en
dc.relation.ispartof 16th World Conference on Earthquake Engineering, 16WCEE 2017 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title Comparison of existing damage detection algorithms on Structural Health Monitoring en
dc.type Conference Item en
dc.rights.holder Copyright: WCEE en en
pubs.finish-date 2017-01-13 en
pubs.start-date 2017-01-09 en
dc.rights.accessrights en
pubs.subtype Conference Paper en
pubs.elements-id 637482 en Engineering en Civil and Environmental Eng en
pubs.record-created-at-source-date 2017-07-17 en

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