LMS-based approach to structural health monitoring of nonlinear hysteretic structures (2011)
Type of ContentJournal Article
PublisherUniversity of Canterbury. Civil and Natural Resources Engineering
University of Canterbury. Mechanical Engineering
AuthorsNayyerloo, M., Chase, J.G., MacRae, G.A., Chen, X.-Q.show all
Structural health monitoring (SHM) algorithms based on adaptive Least Mean Squares (LMS) filtering theory can directly identify time-varying changes in structural stiffness in realtime in a computationally efficient fashion. However, better metrics of seismic structural damage and future utility after an event are related to permanent and total plastic deformations. This paper presents a modified LMS-based SHM method and a novel two-step structural identification technique using a baseline nonlinear Bouc-Wen structural model to directly identify changes in stiffness due to damage, as well as plastic or permanent deflections. The algorithm is designed to be computationally efficient; therefore it can work in real-time. An in silico single-degree-of-freedom (SDOF) nonlinear shear-type structure is used to prove the concept. The efficiency of the proposed SHM algorithm in identifying stiffness changes and plastic/permanent deflections is assessed under different ground motions using a suite of 20 different ground acceleration records. The results show that in a realistic scenario with fixed filter tuning parameters, the proposed LMS-based SHM algorithm identifies stiffness changes to within 10% of true values within 2.0 seconds. Permanent deflection is identified to within 14% of the actual as-modelled value using noise-free simulation-derived structural responses. This latter value provides important post-event information on the future serviceability, safety, and repair cost.
CitationNayyerloo, M., Chase, J.G, MacRae, G.A., Chen, X.Q. (2011) LMS-based approach to structural health monitoring of nonlinear hysteretic structures. Structural Health Monitoring, 10(4), pp. 429–444.
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Keywordsstructural health monitoring (SHM); structural identification; damage detection; nonlinear hysteretic structures; the Bouc-Wen model; adaptive LMS filters
ANZSRC Fields of Research09 - Engineering::0905 - Civil Engineering::090506 - Structural Engineering
09 - Engineering::0905 - Civil Engineering::090504 - Earthquake Engineering
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