Structural Health Monitoring using Adaptive LMS Filters (2010)
Type of ContentJournal Article
PublisherUniversity of Canterbury. Civil and Natural Resources Engineering
University of Canterbury. Electrical and Computer Engineering
University of Canterbury. Mechanical Engineering
AuthorsNayyerloo, M., Chase, J.G., MacRae, G.A., Chen, X.Q., Hann, C.show all
A structure’s level of damage is determined using a non-linear model-based method utilising a Bouc-Wen hysteretic model. It employs adaptive Least Mean Squares (LMS) filtering theory in real time to identify changes in stiffness due to modelling error damage, as well as plastic and permanent displacements, which are critical to determining ongoing safety and use. The Structural Health Monitoring (SHM) method is validated on a four-story shear structure model undergoing seismic excitation. For the simulated structure, the algorithm identifies stiffness changes to within 10% of the true value in 0.20 s, and permanent deflection is identified to within 5% of the actual as-modelled value using noise-free simulation-derived structural responses.
CitationNayyerloo, M., Chase, J.G., MacRae, G.A., Chen, X.Q., Hann, C. (2010) Structural Health Monitoring using Adaptive LMS Filters. International Journal of Computer Applications in Technology (IJCAT), 39(1/2/3), pp. 130-136.
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KeywordsSHM; structural health monitoring; adaptive filtering; LMS; least mean squares; Bouc-Wen model; damage detection; non-linear structure; computer vision; line scan camera
ANZSRC Fields of Research09 - Engineering::0905 - Civil Engineering::090504 - Earthquake Engineering
09 - Engineering::0905 - Civil Engineering::090506 - Structural Engineering