Abstract
A method for localization and severity assessment of structural damages is proposed. The algorithm works based on nonlinear behavior of certain type of damages such as breathing cracks which are called active discontinuities in this paper. Generally, nonlinear features are more sensitive to such damages although their extraction is sometimes controversial. A major controversy is the imposition of spurious modes on the expansion of the signal which needs to be addressed for an effective application and robustness of the method. The energy content of Intrinsic Mode Functions (IMFs), which are the resultants of Empirical Mode Decomposition (EMD), and also the shape of energy distribution between these modes before and after damage, are used for localization and severity assessment of the damages. By using EMD, we preserve the nonlinear aspects of the signal while avoiding imposition of spurious harmonics on its expansion without any assumption of stationarity. The developed algorithms are used to localize and assess the damage in a steel cantilever beam. The results show that the method can be used effectively for detecting active structural discontinuities due to damage.
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
References
Pandey AK, Biswas M, Samman MM (1991) Damage detection from changes in curvature mode shapes. J Sound Vib 145(2):321–332
Lam HF, Katafygiotis LS, Mickleborough NC (2004) Application of a statistical model updating approach on phase I of the IASC-ASCE structural health monitoring benchmark study. J Eng Mech 130(1):34–48
Cornwell P, Doebling SW, Farrar CR (1999) Application of the strain energy damage detection method to plate-like structures. J Sound Vib 224(2):359–374
Peng ZK, Lang AQ, Billings SA (2007) Crack detection using nonlinear output frequency response functions. J Sound Vib 301:777–788
Nochols JM, Todd MD, Seaver M, Virgin LN (2003) Use of chaotic excitation and attractor property analysis in structural health monitoring. Phys Rev 67:016209
Nichols JM, Trickey ST, Todd MD, Virgin LN (2003) Structural health monitoring through chaotic interrogation. Meccanica 38:239–250
Yin SH, Epureanu B (2006) Structural health monitoring based on sensitivity vector fields and attractor morphing. Philos Trans A Math Phys Eng Sci 364:2515–2538
Mohammadi Ghazi R, Long J, Buyukozturk O (2013) Structural damage detection based on energy transfer between intrinsic modes. In: Proceedings of ASME 2013 conference on smart material, adaptive structures and intelligent systems (SMASIS), September 2013, No. 3022
Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Yen N, Tung CC, Liu HH (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc A Math Phys Eng Sci 454:903–995
Acknowledgments
The authors acknowledge the support provided by Royal Dutch Shell through the MIT Energy Initiative, and thank chief scientists Dr. Dirk Smit and Dr. Sergio Kapusta, project manager Dr. Yile Li, and Shell-MIT liaison Dr. Jonathan Kane for their oversight of this work. Thanks are also due to Dr. Michael Feng and his team from Draper Laboratory for their collaboration in the development of the laboratory structural model and sensor systems. Sincere appreciation is given to Justin Chen for his help in collecting experimental data and editing the paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
Ghazi, R.M., Buyukozturk, O. (2014). Assessment and Localization of Active Discontinuities Using Energy Distribution Between Intrinsic Modes. In: Wicks, A. (eds) Structural Health Monitoring, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-04570-2_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-04570-2_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04569-6
Online ISBN: 978-3-319-04570-2
eBook Packages: EngineeringEngineering (R0)