A Novel Ultrasonic Technique to Detect Damage Evolution in Quasi-Brittle Materials

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The results of an experimental research on plain concrete are presented. The non-linear behavior of both virgin and damaged samples is investigated by means of ultrasonic tests: recent theoretical models, indeed, have pointed out that mono-frequency ultrasonic excitations bring to light such phenomena as harmonic generation and sidebands production, which are essentially due to the material classical or hysteretic non-linearity. The estimation of the harmonic components parameters (amplitudes and phases) is achieved through a signal processing technique based on MUltiple SIgnal Classification (MUSIC) system, which reveals to be optimal for the specific signal model here considered. The experiments described in this paper show that the material non-linear features increase with increasing level of internal micro-cracking, thus suggesting the possibility to use the ultrasonic signal analysis in the frequency domain as a valuable tool for damage assessment.

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Edited by:

L. Garibaldi, C. Surace, K. Holford and W.M. Ostachowicz

Pages:

633-638

Citation:

P. Antonaci et al., "A Novel Ultrasonic Technique to Detect Damage Evolution in Quasi-Brittle Materials ", Key Engineering Materials, Vol. 347, pp. 633-638, 2007

Online since:

September 2007

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$38.00

[1] K. E. A. Van Den Abeele, P. A. Johnson and A. Sutin.: Res Nondestr Eval Vol. 12, No. 1 (2000), pp.17-30.

[2] K. E. A. Van Den Abeele, P. A. Johnson and A. Sutin.: Res Nondestr Eval Vol. 12, No. 1 (2000), pp.31-42.

[3] M. Bentahar, H. El Aqra, R. El Guerjouma, M. Griffa and M. Scalerandi.: Phys Rev B, Vol. 73, 014116 (2006).

DOI: https://doi.org/10.1103/physrevb.73.014116

[4] N. Pugno and C. Surace: Journal of Sound and Vibration Vol. 235, No. 5 (2000), pp.749-762.

[5] R. Schmidt.: IEEE Trans. on Antennas and Propagation Vol. 34, No. 3 (1986), pp.276-280.

[6] P. Stoica and A. Nehorai: IEEE Trans. on Acoustics, Speech, and Signal Processing Vol. 37, No. 5 (1989), pp.720-741.

[7] P. Stoica and A. Nehorai: IEEE Trans. on Acoustics, Speech, and Signal Processing Vol. 38, No. 12 (1990), pp.2140-2150.

DOI: https://doi.org/10.1109/29.61541

[8] P. Stoica and T. Soderstrom: IEEE Trans. on Signal Processing Vol. 39, No. 8 (1991), pp.1836-1847.

[9] F. Sellone: Signal Processing Vol. 86, No. 1 (2006), pp.17-37.

[10] P. Bocca and G. Rosa, in: Proc. of the International Conference on Non Destructive Testing on Concrete in the Infrastructure Dearborn, (Michigan, USA), June, 9 - 11, 1993, pp.330-340.

[11] G. Manolakis, V. K. Ingle and S. M. Kogon: Statistical and Adaptive Signal Processing, edited by Artech House, London (2005).

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