In this article, an acoustic emission–based impact location estimation algorithm is presented for use with composite structures. The algorithm is formulated as a constrained optimization problem by utilizing sensor locations and times of arrival of impact signals at the sensors. The impact locations are estimated without any information about wave propagation velocity in the structure. A modification of the algorithm to overcome difficulties produced by waveform reflections enables accurate estimation of impact locations close to the structure’s boundaries. The capability of this algorithm to accurately estimate impact locations is demonstrated numerically and experimentally. Experiments performed at different temperatures showed that the algorithm is robust to temperature changes. An automatic time-of-arrival estimation method is also presented. The performance capabilities of the method and its computational simplicity make this approach an attractive alternative to other methods available in the literature for practical structural health monitoring applications.
WangHChuP. Voice source localization for automatic camera pointing system in videoconferencing. In: Proceedings of the IEEE international conference acoustics, speech, and signal process, Munich, 21–24 April 1997, pp. 187–190. New York: IEEE.
2.
SchauHCRobinsonAZ.Passive source localization employing intersecting spherical surfaces from time-of-arrival differences. IEEE Trans Acoust Speech Signal Process1987; 35(8): 1223–1225.
3.
HuangYBenestyJElkoGW, et al. Real-time passive source localization: a practical linear-correction least-squares approach. IEEE Trans Speech Audi Process2001; 9(8): 943–956.
4.
CoverleyPTStaszewskiWJ.Impact damage location in composite structures using optimized sensor triangulation procedure. Smart Mater Struct2003; 12(5): 795–803.
5.
SalehianA.Identifying the location of a sudden damage in composite laminates using wavelet approach. Master’s Thesis, Worcester Polytechnic Institute, Worcester, MA, 2003.
6.
MeoMZumpanoGPiggottM, et al. Impact identification on a sandwich plate from wave propagation responses. Compos Struct2005; 71(3): 302–306.
7.
KunduTDasSJataKV.Detection of the point of impact on a stiffened plate by the acoustic emission technique. Smart Mater Struct2009; 18(3): 1–9.
8.
HajzargerbashiTKunduTBlandS.An improved algorithm for detecting point of impact in anisotropic inhomogeneous plates. Ultrasonics2011; 51(3): 317–324.
9.
PapulakTS.An inverse acoustical phased array technique for impact detection and location. Master’s Thesis, The University of Utah, Salt Lake City, UT, 2012.
10.
PutkisODaltonRPCroxfordAJ.The influence of temperature variations on ultrasonic guided waves in anisotropic CFRP plates. Ultrasonics2015; 60: 109–116.
11.
LuYHMichaelsJE.A methodology for structural health monitoring with diffuse ultrasonic waves in the presence of temperature variations. Ultrasonics2005; 43(9): 717–731.
12.
HicheCCoelhoCKChattopadhyayA.A strain amplitude-based algorithm for impact localization on composite laminates. J Intell Mater Syst Struct2011; 22(17): 2061–2067.
13.
CiampaFMeoM.A new algorithm for acoustic emission localization and flexural group velocity determination in anisotropic structures. Compos Part A: Appl Sci Manuf2010; 41(12): 1777–1786.
14.
ZhouJMathewsVJAdamsDO.Impact location estimation in anisotropic structures. In: Proceedings of the 41st annual review progress quantitative nondestructive evaluation, Boise, ID, 20–25 July 2014, pp. 1081–1090. New York: AIP Publishing.
15.
ZhouJMathewsVJAdamsDO.Impact location estimation in anisotropic media. In: Proceedings of the IEEE international conference acoustics, speech and signal process, Brisbane, QLD, Australia, 19–24 April 2015, pp. 2614–2618. New York: IEEE.
16.
ZhouJMathewsVJAdamsDO. Acoustic emission-based impact location estimation for composite structures. In: Proceedings of the 10th international workshop structural health monitoring, Stanford, CA, 1–3 September 2015, pp. 1510–1518. Stanford, CA: Stanford University.
17.
KunduTNakataniHTakedaN.Acoustic source localization in anisotropic plates. Ultrasonics2012; 52(6): 740–746.
18.
RimaRABanerjeeS. Novel approach for acoustic source localization using spiral sensing. In: Proceedings of the 9th international workshop structural health monitoring, Stanford, CA, 10–12 September 2013, pp. 2643–2650. Stanford, CA: Stanford University.
19.
CiampaFMeoM.Impact detection in anisotropic materials using a time reversal approach. Struct Health Monit2012; 11(1): 43–49.
20.
IngRKQuieffinNCathelineS, et al. In solid localization of finger impacts using acoustic time-reversal process. Appl Phys Lett2005; 87(20): 1–3.
21.
ManikasAKamilYIKaraminasP.Positioning in wireless sensor networks using array processing. In: Proceedings of the IEEE global telecommunications conference, New Orleans, LA, 30 November–4 December 2008, pp. 1–5. New York: IEEE.
22.
ManikasAKamilYIWillertonM.Source localization using sparse large aperture arrays. IEEE Trans Signal Process2012; 60(12): 6617–6629.
23.
ZhongYYuanSQiuL.Near-field 2d-MUSIC algorithm based impact localization using linear array. In: Proceedings of the 9th international workshop structural health monitoring, Stanford, CA, 10–12 September 2013, pp. 2659–2666. Stanford, CA: Stanford University.
24.
GrivaINashSGSoferA.Linear and nonlinear optimization. Philadelphia, PA: SIAM, 2009.
25.
SnedecorGWCochranWG.Statistical methods. 8th ed.Ames, IA: Iowa State University Press, 1989.
26.
YingYJGarrettJHJrOppenheimIJ, et al. Toward data-driven structural health monitoring: application of machine learning and signal processing to damage detection. J Comput Civil Eng2013; 27(6): 667–680.
27.
ZhouJ.Impact location estimation and damage classification for composite structures. PhD Thesis, The University of Utah, Salt Lake City, UT, 2017.
