Structural Health Monitoring using Adaptive LMS Filters

Type of content
Journal Article
Thesis discipline
Degree name
Publisher
University of Canterbury. Civil and Natural Resources Engineering
University of Canterbury. Electrical and Computer Engineering
University of Canterbury. Mechanical Engineering
Journal Title
Journal ISSN
Volume Title
Language
Date
2010
Authors
Nayyerloo, M.
Chase, Geoff
MacRae, G.A.
Chen, X.Q.
Hann, C.
Abstract

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.

Description
Citation
Nayyerloo, 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.
Keywords
SHM, structural health monitoring, adaptive filtering, LMS, least mean squares, Bouc-Wen model, damage detection, non-linear structure, computer vision, line scan camera
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Fields of Research::40 - Engineering::4005 - Civil engineering::400506 - Earthquake engineering
Fields of Research::40 - Engineering::4005 - Civil engineering::400510 - Structural engineering
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