Temperature Independent Delamination Detection Using Data Normalization

Abstract:

This paper describes a new delamination detection technique for a composite structure under varying temperature. Guided waves and impedances have the merits of being sensitive to small defects of a structure. However, they can be vulnerable to environmental and operational variations. In reality, structures are subject to various environmental and operational conditions that affect measured guided wave and impedance signals, and these ambient variations can often lead false alarms. To tackle this issue, a data normalization procedure that distinguishes structural damage from undesirable ambient variations, is developed. The overall procedures of the proposed method are (1) the temperature estimation from impedance data using data normalization, (2) the selection of guided wave signals related to the estimated temperature, and (3) damage classification based on generalized extreme value statistics. In order to validate the proposed method, experimental studies under varying temperature are investigated in a composite plate.

• Periodical: Advanced Materials Research (Volumes 123-125)
• Pages: 911-914
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.123-125.911
• Online since: August 2010
• Authors: Yun Kyu An, Hyung Jin Lim, Hoon Sohn
• Keywords: Data Normalization, Delamination Detection, Guided Wave, Impedance, Structural Health Monitoring (SHM), Temperature Variation

References

[1] Park, G., Sohn, H., Farrar, C.R. and Inman, D.J.: Overview of piezoelectric impedance-based health monitoring and path forward, Shock Vibration Digest. Vol. 35 (2003), pp.451-463.

DOI: 10.1177/05831024030356001

[2] Raghavan and Cesnik C.E.S.: Review of guided wave structural health monitoring, Shock Vibration Digest. Vol. 39 (2007), pp.91-114.

DOI: 10.1177/0583102406075428

[3] Sohn, H.: Effects of environmental and operational variability on structural health monitoring a Special Issue of Philosophical Transactions of the Royal Society A on Structural Health Monitoring, Vol. 365 (2007), pp.539-560.

DOI: 10.1098/rsta.2006.1935

[4] Krishnamurthy, Karthik, Lalande, Frederic, Rogers and Craig A.: Effects of temperature on the electric impedance of piezoelectric sensors, Proceedings of SPIE-The International Society for Optical Engineering. 2717 (1996), pp.302-310.

[5] Zhou, D., Kim, J.K., Ha, D.S., Quesenberry, J.D. and Inman, D.J.: A system approach for temperature dependency of impedance-based structural health monitoring, Proceedings of SPIE-The International Society for Optical Engineering. 2717 (2009).

DOI: 10.1117/12.816285

[6] Oh, C.K., Sohn, H. and Bae, I.H.: Statistical novelty detection within the Yeongjong suspension bridge under environmental and operational variations, Smart Materials and Structures. Vol. 18 (2009), 125022.

DOI: 10.1088/0964-1726/18/12/125022

[7] Park, H.W. and Sohn, H.: Parameter Estimation of the Generalized Extreme Value Distribution for Structural Health Monitoring, Journal of Probabilistic Engineering Mechanics. Vol. 21(2006), pp.366-376.

DOI: 10.1016/j.probengmech.2005.11.009