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Output-only modal identification by in-operation modal appropriation for use with enhanced frequency domain decomposition method

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Abstract

Output-only modal identification or operational modal analysis (OMA) has gained increasing popularity in many fields of engineering. In the context of OMA there is no need to measure the input. Modal parameters of dynamic systems are estimated just based on the output responses. One of the most robust and popular frequency domain methods of OMA is enhanced frequency domain decomposition (EFDD) method. EFDD is widely used as an interesting solution for OMA in a large number of researches, projects, and commercial software. We first assessed the EFDD features considering the design parameters selection and then introduced our recently proposed algorithm named in-operation modal appropriation (INOPMA) for use with EFDD method to improve the identification of modal frequencies and damping ratios and overcome some of the existing drawbacks. Modal identification process starts with EFDD and then INOPMA is applied on derived normalized auto-correlation functions (NACF) to estimate modal damping ratios and natural frequencies. Typical EFDD takes advantage of logarithmic decrement (LD) algorithm and zero crossing (ZC) method at this stage. A simulated four-story shear frame has been employed to perform the evaluation of the proposed method on output-only prediction of ideal natural frequencies and modal damping ratios. The outcomes show that the modal parameters are estimated with much less bias error and variance compared to the typical EFDD procedure. The real data of the heritage court tower ambient vibration test is also used to perform sensitivity analysis of EFDD-INOPMA modal parameter estimation in the presence of measurement noise, and favorable results have been obtained.

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References

  1. G. H. James, T. G. Crane and J. Laufer, The natural excitation technique (NExT) for modal parameter extraction from operating structures, The International J. of Analytical and Experimental Modal Analysis, 10 (1995) 260–277.

    Google Scholar 

  2. L. Ljung, System Identification: Theory for the User, Second Ed., Prentice Hall, Upper Saddle River, New Jersey, USA (1999).

    MATH  Google Scholar 

  3. P. Van Overschee and B. De Moor, Subspace algorithms for the stochastic identification problem, Automatica, 29 (3) (1993) 649–660.

    Article  MathSciNet  MATH  Google Scholar 

  4. F. Poncelet, G. Kerschen, J.-C. Golinval and D. Verhelst, Output-only modal analysis using blind source separation techniques, Mechanical Systems and Signal Processing, 21 (6) (2007) 2335–2358.

    Article  Google Scholar 

  5. Y. Jin, S. Qin, J. Guo and C. Zhu, Output-only modal identification based on hierarchical Hough transform, J. of Mechanical Science and Technology, 30 (7) (2016) 2941–2951.

    Article  Google Scholar 

  6. A. Farzampour, A. Kamali-Asl and J. W. Hu, Unsupervised identification of arbitrarily-damped structures using time-scale independent component analysis: Part I, J. of Mechanical Science and Technology, 32 (2) (2018) 567–577.

    Article  Google Scholar 

  7. D. J. Ewins, Modal Testing, Theory, Practice, and Application, 2nd Ed., Research Studies Press, Baldock, England (2000).

    Google Scholar 

  8. R. Brincker, L. Zhang and P. Andersen, Modal identification from ambient responses using frequency domain decomposition, Proc. 18th IMAC, San Antonio, Texas (2000).

    Google Scholar 

  9. R. Brincker, C. Ventura and P. Andersen, Damping estimation by frequency domain decomposition, Proc. 19th IMAC, Orlando, Florida (2001).

    Google Scholar 

  10. P. Verboven, Frequency-domain System Identification for Modal Analysis, Ph.D. Thesis, Vrije Universiteit Brussels, Brussels (2002).

    MATH  Google Scholar 

  11. P. Guillaume, P. Verboven, S. Vanlanduit, H. Van der Au-weraer and B. Peeters, A poly-reference implementation of the least-squares complex frequency-domain estimator, Proc. 21st IMAC, Kissimmee, Florida (2003).

    Google Scholar 

  12. C. Devriendt and P. Guillaume, The use of transmissibility measurements in output-only modal analysis, Mechanical Systems and Signal Processing, 21 (7) (2007) 2689–2696.

    Article  Google Scholar 

  13. J. Rodrigues, R. Brincker and P. Andersen, Improvement of frequency domain output-only modal identification from the application of the random decrement technique, Proc. 22nd IMAC, Dearborn, Michigan (2004).

    Google Scholar 

  14. N.-J. Jacobsen, P. Andersen and R. Brincker, Applications of frequency domain curve-fitting in the EFDD technique, Proc. 26th IMAC, Orlando, Florida (2008).

    Google Scholar 

  15. L. Zhang, T. Wang and Y. Tamura, A frequency-spatial domain decomposition (FSDD) method for operational modal analysis, Mechanical Systems and Signal Processing, 24 (5) (2010) 1227–1239.

    Article  Google Scholar 

  16. F. Pioldi and E. Rizzi, Refined frequency domain decomposition modal dynamic identification from earthquake-induced structural responses, Meccanica, 52 (13) (2017) 3165–3179.

    Article  MathSciNet  Google Scholar 

  17. F. Pioldi, R. Ferrari and E. Rizzi, Output-only modal dynamic identification of frames by a refined FDD algorithm at seismic input and high damping, Mechanical Systems and Signal Processing, 68–69.(2016) 265–291.

    Article  Google Scholar 

  18. M. Ghalishooyan and A. Shooshtari, Operational modal analysis techniques and their theoretical and practical aspects: A comprehensive review and introduction, Proc. 6th IOMAC, Gijón, Spain (2015).

    Google Scholar 

  19. M. Basseville, M. Abdelghani and A. Benveniste, Sub-space-based fault detection algorithms for vibration monitoring, Automatica, 36 (1) (2000) 101–109.

    Article  MathSciNet  MATH  Google Scholar 

  20. S. E.-O. Bahlous, M. Abdelghani, H. Smaoui and S. El-Borgi, A modal filtering and statistical approach for damage detection and diagnosis in structures using ambient vibrations measurements, J. of Vibration and Control, 13 (3) (2007) 281–308.

    Article  MathSciNet  MATH  Google Scholar 

  21. M. Domaneschi, M. P. Limongelli and L. Martinelli, Damage detection and localization on a benchmark cable-stayed bridge, Earthquakes and Structures, 8 (5) (2015) 1113–1126.

    Article  Google Scholar 

  22. M. Abdelghani and D. J. Inman, Modal appropriation for use with in-operation modal analysis, Shock and Vibration, 2015 (ID 537030) (2015).

    Google Scholar 

  23. L. Meirovitch, Elements of Vibration Analysis, McGraw-Hill (1986).

    MATH  Google Scholar 

  24. M. Abdelghani, M. Ghalishooyan and A. Shooshtari, A comparative assessment of in-operation modal analysis and frequency domain decomposition algorithm using simulated data, Advances in Acoustics and Vibration, Springer (2017) 215–221.

    Chapter  Google Scholar 

  25. R. Brincker and C. Ventura, Introduction to Operational Modal Analysis, Wiley, USA (2015).

    Book  MATH  Google Scholar 

  26. C. Dyck and C. Ventura, Ambient Vibration Measurements of Heritage Court Tower, Research report No. 98-007. EQ LAB, University of British Columbia, Vancouver, Canada (1998).

    Google Scholar 

  27. J. Antoni and J. Schoukens, A comprehensive study of the bias and variance of frequency-response-function measurements: Optimal window selection and overlapping strategies, Automatica, 43 (10) (2007) 1723–1736.

    Article  MathSciNet  MATH  Google Scholar 

  28. D. F. Giraldo, W. Song, S. J. Dyke and J. M. Caicedo, Modal identification through ambient vibration: Comparative study, J. of Engineering Mechanics, 135 (8) (2009) 759–770.

    Article  Google Scholar 

  29. B. K. Jung, J. R. Cho and W. B. Jeong, Sensor placement optimization for structural modal identification of flexible structures using genetic algorithm, J. of Mechanical Science and Technology, 29 (7) (2015) 2775–2783.

    Article  Google Scholar 

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Correspondence to Ahmad Shooshtari.

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Recommended by Associate Editor Daeil Kwon

Morteza Ghalishooyan is a Ph.D. candidate in Civil Engineering at Ferdowsi University of Mashhad. His current research interests include structural dynamics and modal identification of structures.

Ahmad Shooshtari received the Ph.D. in Civil Engineering from University of Ottawa, Canada. He is an Associate Professor in the Department of Civil Engineering at Ferdowsi University of Mashhad, Iran.

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Ghalishooyan, M., Shooshtari, A. & Abdelghani, M. Output-only modal identification by in-operation modal appropriation for use with enhanced frequency domain decomposition method. J Mech Sci Technol 33, 3055–3067 (2019). https://doi.org/10.1007/s12206-018-0906-1

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