Abstract
Operational modal analysis (OMA) known as response-only modal identification, is extremely useful for large structures in civil engineering where the excitation is difficult or even impossible to measure. The unknown excitation is always assumed as white noise in OMA. In presence of harmonics, the white noise assumption is not verified that makes the modal identification process difficult, and eventually leading to biased results. In recent years, blind source separation (BSS) techniques have been shown to be robust and efficient for OMA. In this paper, a new BBS technique termed Sparse Component Analysis (SCA) without white noise assumption, is applied for operational modal identification in presence of harmonics. The performance of the proposed method is demonstrated using numerical examples of a two-degrees-of-freedom system and a cantilever beam.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
T.-P. Le, P. Paultre, B. Weber, J. Proulx, P. Argoul, Modal identification based on ambient excitation tests, in : Proceedings of 24th IMAC conference, 2006
J. Antoni, S. Chauhan, A study and extension of second-order blind sources separation to operational modal analysis, Journal of sound and Vibration 332, pp 1079-1106, 2013
G. Kerschen, F. Poncelet, J.-C Golinval, Physical interpretation of independent component analysis in structural dynamics, Mechanical Systems and Signal Processing 21 pp 1561–1575, 2007
A. Sadhu, S. Narasimhan, J.Antoni, A review of output-only structural mode identification literature employing blind source separation methods, Mechanical Systems and Signal Processing 94 pp 415–431, 2017
P. Mohanty, D.-J. Rixen, Operational modal analysis in the presence of harmonic excitation, Journal of sound and Vibration 270, pp 93–109, 2004
P. Bofill, M. Zibulevsky, Undertemined blind source separation using sparse representions, Signal Processing 81, pp 2353–2362, 2001
Y. Yang, S. Nagarajaiah, Output-only modal identification with limited sensors using sparse component analysis, Journal of sound and Vibration 332, pp 4741–4765, 2013.
E. Cand, J. Romberg, L1-MAGIC: Recovery of Sparse Signals via Convex Programming, pp 1–19, 2005
T.-P Le, P. Agroul, Distinction between harmonic and structural components in ambient excitation tests using the time-frequency domain decomposition technique, Mechanical Systems and Signal Processing 52–53 pp 29–45, 2015
R. Brincker, C.-E. Ventura, P. Andersen, Damping estimation by frequency domain decomposition, in: Proceedings of 19th IMAC conference, 2001
V.-D. Do, T.-P. Le, A. Beakou, Transmissibility based operational modal analysis in presence of harmonics, in: Congrès international de Géotechnique-Ouvrages-Structures, Springer, pp 972–980, 2017.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Do, VD., Le, TP., Beakou, A. (2020). Blind Source Separation Technique for Operational Modal Analysis in Presence of Harmonic Excitation. In: Ha-Minh, C., Dao, D., Benboudjema, F., Derrible, S., Huynh, D., Tang, A. (eds) CIGOS 2019, Innovation for Sustainable Infrastructure. Lecture Notes in Civil Engineering, vol 54. Springer, Singapore. https://doi.org/10.1007/978-981-15-0802-8_14
Download citation
DOI: https://doi.org/10.1007/978-981-15-0802-8_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0801-1
Online ISBN: 978-981-15-0802-8
eBook Packages: EngineeringEngineering (R0)