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Proceedings Paper

Decentralized SHM method based on substructure parameter identification
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Paper Abstract

In this paper, we propose a new decentralized method for structural health monitoring based on substructure dynamical parameter identification, which can be executed in parallel on multiple smart sensor nodes. A decentralized Kalman filter algorithm is applied for modal parameter identification of structures using multi-input and multi-output ARX model. Furthermore, network communication topology is investigated using the substructure approach for finding a practical application of the decentralized algorithm. Numerical simulation studies are carefully performed for three types of network topologies and two types of model structures. Identification tests using the seismic observation data of existing 5-story building are also conducted. The results show the feasibility of the proposed decentralized method.

Paper Details

Date Published: 15 April 2011
PDF: 10 pages
Proc. SPIE 7981, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011, 79813B (15 April 2011); doi: 10.1117/12.880017
Show Author Affiliations
Michihito Shiraishi, Shimizu Corp. (Japan)
Akira Mita, Keio Univ. (Japan)


Published in SPIE Proceedings Vol. 7981:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
Masayoshi Tomizuka, Editor(s)

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