Structural health monitoring using adaptive LMS filters Online publication date: Wed, 18-Aug-2010
by Mostafa Nayyerloo, J. Geoffrey Chase, Gregory A. MacRae, XiaoQi Chen, Christopher E. Hann
International Journal of Computer Applications in Technology (IJCAT), Vol. 39, No. 1/2/3, 2010
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-storey 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.
Online publication date: Wed, 18-Aug-2010
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