Abstract
Because of its simplicity and robustness, the Frequency Domain Decomposition (FDD) identification technique have become very popular in the operational modal analysis community. The basic idea behind this technique consists of computing the singular value decomposition of the power spectral densities estimated with the periodogram (also known as “Welch’s” periodogram) approach to identify the natural frequencies and mode shape vectors. In this paper, the benefits of the application of the FDD technique to half spectral densities – the power spectral densities estimated from the positive part of the correlation functions – are investigated. In order to illustrate such benefits from a practical perspective, the FDD identification results obtained from the half spectral densities, of both simulated and real structures, are compared to those from the classical periodogram-driven FDD.
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
Similar content being viewed by others
References
Peeters, B., De Roeck, G.: Reference-based stochastic subspace identification for output-only modal analysis. Mech. Syst. Signal Process. 13(6), 855–878 (1999)
Peeters, B., Van der Auweraera, H., Guillaume, P., Leuridana, J.: The polymax frequency–domain method: a new standard for modal parameter estimation? Shock Vib. 1(11), 395–409 (2004)
Peeters, B., Van Der Auweraera, H., Vanhollebeck, F., Guillaume, P.: Operational modal analysis for estimating the dynamic properties of a stadium structure during a football game. Shock Vib. 1(14), 283–303 (2007)
Brincker, R., Ventura, C.: Introduction to Operational Modal Analysis, 1st edn. Wiley, New York (2015)
Brincker, R., Zhang, L., Andersen, P.: Modal identification of output-only systems using frequency domain decomposition. Smart Mater. Struct. 10, 441–445 (2001)
Shih, C.Y., Tsuei, Y.G., Allemang, R.J., Brown, D.L.: Complex mode indication function and its application to spatial domain parameter estimation. Mech. Syst. Signal Process. 2(4), 367–377 (1988)
Amador, S.D.R., Brincker, R.: On the different derivatives of the half spectral density. In: Proceedings of the 7th International Operational Modal Analysis Conference (IOMAC) (2017)
Acknowledgements
The authors acknowledge the funding received from Centre for Oil and Gas – DTU/Danish Hydrocarbon Research and Technology Centre (DHRTC).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
Amador, S., Ørum, M., Friis, T., Brincker, R. (2019). Application of Frequency Domain Decomposition Identification Technique to Half Spectral Densities. In: Mains, M., Dilworth, B. (eds) Topics in Modal Analysis & Testing, Volume 9. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-74700-2_39
Download citation
DOI: https://doi.org/10.1007/978-3-319-74700-2_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74699-9
Online ISBN: 978-3-319-74700-2
eBook Packages: EngineeringEngineering (R0)