1887
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
oa
Non-classical nonlinear feature extraction from standard resonance vibration data for damage detection
Rent:
Rent this article for
Access full text Article
/content/asa/journal/jasa/135/2/10.1121/1.4862882
1.
1. M. M. Ettoune1y and S. Alampalli, Infrastructure Health Monitoring in Civil Engineering (CRC Press, Boca Raton, FL, 2009).
2.
2. Handbook on Nondestructive Test of Concrete, 2nd ed., edited by V. M. Malhorta and N. J. Carino (CRC Press, Boca Raton, FL, 2004).
3.
3. C. Payan, A. Quiviger, V. Garnier, J. F. Chaix, and J. Salin, “Applying diffuse ultrasound under dynamic loading to improve closed crack characterization in concrete,” J. Acoust. Soc. Am. 134, EL211EL216 (2013).
http://dx.doi.org/10.1121%2F1.4813847
4.
4. C. Payan, A. Quiviger, V. Garnier, J. F. Chaix, and J. Salin, “Nonequilibrium phenomena in damaged media and their effects on elastic properties,” J. Acoust. Soc. Am. 131, 43044315 (2012).
http://dx.doi.org/10.1121/1.4707529
5.
5. K. E. A. Van den Abeele, P. A. Johnson, and A. Sutin, “Nonlinear elastic wave spectroscopy (NEWS) techniques to discern material damage, part I: nonlinear wave modulation spectroscopy (NWMS),” Res. Nondestruct. Eval. 12, 1730 (2000).
http://dx.doi.org/10.1080/09349840009409646
6.
6. K. E. A. Van Den Abeele, A. Sutin, J. Carmeliet, and P. A. Johnson, “Micro damage diagnostics using nonlinear elastic wave spectroscopy (NEWS),” NDT&E Int. 34, 239248 (2001).
http://dx.doi.org/10.1016/S0963-8695(00)00064-5
7.
7. C. Payan, V. Garnier, J. Moysan, and P. A. Johnson, “Applying nonlinear ultrasound spectroscopy to improving thermal damage assessment in concrete,” J. Acoust. Soc. Am. 121, EL125EL130 (2007).
http://dx.doi.org/10.1121%2F1.2710745
8.
8. J. Chen, J. Y. Kim, K. E. Kurtis, and L. J. Jacobs, “Theoretical and experimental study of the nonlinear resonance vibration of cementitious materials with an application to damage characterization,” J. Acoust. Soc. Am. 130, 27282737 (2011).
http://dx.doi.org/10.1121/1.3647303
9.
9. K. J. Leśnicki, J. Y. Kim, K. E. Kurtis, and L. J. Jacobs, “Assessment of alkali–silica reaction damage through quantification of concrete nonlinearity,” Mat. Struct. 46, 497509 (2013).
http://dx.doi.org/10.1617/s11527-012-9942-y
10.
10. J. N. Eiras, T. Kundu, M. Bonilla, and J. Payá, “Nondestructive monitoring of ageing of alkali resistant glass fiber reinforced cement (GRC),” J. Nondestruct. Eval. 32, 300314 (2013).
http://dx.doi.org/10.1007/s10921-013-0183-y
11.
11. ASTM C215-08: Standard Test Method for Fundamental Transverse, Longitudinal, and Torsional Frequencies of Concrete Specimens (ASTM, West Conshohocken, PA).
12.
12. D. A. Mendelsohn and C. Pecorari, “Nonlinear free vibrations of a beam with hysteretic damage,” J. Sound. Vib. 332, 378390 (2013).
http://dx.doi.org/10.1016/j.jsv.2012.08.011
13.
13. R. A. Guyer and P. A. Johnson, “Nonlinear mesoscopic elasticity: Evidence for a new class of materials,” Phys. Today 52, 3036 (1999).
http://dx.doi.org/10.1063/1.882648
14.
14. P. A. Johnson, Universality of Nonclassical Nonlinearity, edited by P. P. Delsanto (Springer, New York, 2006), pp. 4969.
15.
15. L. D. Landau and E. M. Lifshitz, Theory of Elasticity, 3rd ed. (Elsevier Butterworth-Heinemann, Oxford, UK, 1986).
16.
16. P. P. Delsanto and M. Scalerandi, “Modeling nonclassical nonlinearity, conditioning, and slow dynamics effects in mesoscopic elastic materials,” Phys. Rev. B 68, 064107 (2003).
http://dx.doi.org/10.1103/PhysRevB.68.064107
17.
17. K. R. McCall and R. A. Guyer, “A new theoretical paradigm to describe hysteresis, discrete memory and nonlinear elastic wave propagation in rock,” Nonlin. Proc. Geophys. 3, 89101 (1996).
http://dx.doi.org/10.5194/npg-3-89-1996
18.
18.EN 196-1:2005, “Methods of testing cement. Part 1: Determination of strength” (BSI, London).
19.
19. D. Donnelly and E. Rogers, “Time series analysis with the Hilbert-Huang transform,” Am. J. Phys. 77, 11541161 (2009).
http://dx.doi.org/10.1119/1.3226852
20.
20. D. Onchis, “Observing damaged beams through their time–frequency extended signatures,” Signal Process Part A 96, 1620 (2014).
http://dx.doi.org/10.1016/j.sigpro.2013.03.039
21.
21. F. Al-Badour, M. Sunar, and L. Cheded, “Vibration analysis of rotating machinery using time–frequency analysis and wavelet techniques,” Mech. Syst. Signal Process 25(6), 20832101 (2011).
http://dx.doi.org/10.1016/j.ymssp.2011.01.017
http://aip.metastore.ingenta.com/content/asa/journal/jasa/135/2/10.1121/1.4862882
Loading
/content/asa/journal/jasa/135/2/10.1121/1.4862882
Loading

Data & Media loading...

Loading

Article metrics loading...

/content/asa/journal/jasa/135/2/10.1121/1.4862882
2014-01-24
2014-07-28

Abstract

Dynamic non-classical nonlinear analyses show promise for improved damage diagnostics in materials that exhibit such structure at the mesoscale, such as concrete. In this study, nonlinear non-classical dynamic material behavior from standard vibration test data, using pristine and frost damaged cement mortar bar samples, is extracted and quantified. The procedure is robust and easy to apply. The results demonstrate that the extracted nonlinear non-classical parameters show expected sensitivity to internal damage and are more sensitive to changes owing to internal damage levels than standard linear vibration parameters.

Loading

Full text loading...

/deliver/fulltext/asa/journal/jasa/135/2/1.4862882.html;jsessionid=3ci4706lpklhr.x-aip-live-03?itemId=/content/asa/journal/jasa/135/2/10.1121/1.4862882&mimeType=html&fmt=ahah&containerItemId=content/asa/journal/jasa
true
true
This is a required field
Please enter a valid email address
This feature is disabled while Scitation upgrades its access control system.
This feature is disabled while Scitation upgrades its access control system.
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Non-classical nonlinear feature extraction from standard resonance vibration data for damage detection
http://aip.metastore.ingenta.com/content/asa/journal/jasa/135/2/10.1121/1.4862882
10.1121/1.4862882
SEARCH_EXPAND_ITEM