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Multiple Decompositions for Modal Identification of Structures in the Time Domain

Ta, D.-T. and Vu, D.-H. and Tran, T.-D. (2024) Multiple Decompositions for Modal Identification of Structures in the Time Domain. Lecture Notes in Civil Engineering, 460 LN. pp. 259-268. ISSN 23662557

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Abstract

Blind source separation (BSS) has proven to be an effective approach for modal analysis of a structure using the output responses. The main challenge of this approach is to solve a smaller number of measured signals than operational modes (an underdetermined problem) and to estimate the exact number of operational modes automatically. Recently, tensor decomposition-based methods have attracted considerable attention for solving many complex situations in this field. This paper proposes a procedure based on multiple decompositions of covariance tensors constructed from vibration measurements for mode analysis in the time domain. Unlike a single decomposition, the proposed procedure uses multiple decompositions allowing the automatic selection of the exact number of these modes and the identification of modal parameters. The efficiency of the proposed procedure is illustrated by simulations and an experiment for different cases, even at different noise levels. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Item Type: Article
Divisions: Offices > Office of International Cooperation
Identification Number: 10.1007/978-981-97-0399-9₂₄
Uncontrolled Keywords: Blind source separation; Composite beams and girders; Parameter estimation; Tensors; Time domain analysis; Vibration analysis, Active mode; Effective approaches; Identification of structures; Modal identification; Modal parameters; Multiple decomposition; Operational modes; Output response; Tensor decomposition; Time domain, Modal analysis
Additional Information: Conference of 3rd International Conference on Structural Health Monitoring and Engineering Structures, SHM and ES 2023 ; Conference Date: 20 July 2023 Through 21 July 2023; Conference Code:313379
URI: http://eprints.lqdtu.edu.vn/id/eprint/11282

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