Acoustic Emission Attenuation and Source Location of Resin Matrix for Wind Turbine Blade Composites

Yan Rong Pang; Zhi Hui Lv; Xiao Min Liang; Han Chang Chai; Ruo Chen Liu; Shao Qing You; Wei Zhou

doi:10.4028/www.scientific.net/AMR.912-914.36

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 912-914Acoustic Emission Attenuation and Source Location...

Acoustic Emission Attenuation and Source Location of Resin Matrix for Wind Turbine Blade Composites

Abstract:

In recent years, acoustic emission (AE) testing technology is the one of the most important non-destructive testing (NDT) methods. The characteristics can be described by AE signals, including the location, nature and severity. In order to obtain the basic data for monitoring the wind turbine blade composite structure, the experiment adopted Φ0.5 mm lead pencil as artificial acoustic emission source and measured AE parameters, attenuation and source location of resin matrix for wind turbine blade. This paper introduced linear location and two-dimensional positioning technology of time arrival location method about the burst AE signal. The result shows that the location of AE source basically reflects the location of stimulation AE source, the location of AE source for resin matrix can agree well with the simulated location of AE source, the more close to the middle area, the more accurate location.

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Periodical:

Advanced Materials Research (Volumes 912-914)

Pages:

36-39

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.912-914.36

Citation:

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Online since:

April 2014

Authors:

Yan Rong Pang*, Zhi Hui Lv, Xiao Min Liang, Han Chang Chai, Ruo Chen Liu, Shao Qing You, Wei Zhou

Keywords:

Acoustic Emission (AE), Attenuation, Composite, Source Location, Wind Turbine Blade

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* - Corresponding Author

References

[1] M. J. Blanch, A. G. Dutton. Acoustic emission monitoring of field tests of an operating wind turbine, Key Eng. Mater. 245–246(2003): 475–482.

DOI: 10.4028/www.scientific.net/kem.245-246.475

Google Scholar

[2] W. Zhou, T. Zhang, W. L. Zhang, et al., AE source location and compressive properties of composite materials for wind turbine blades, WCAE, Beijing, 2011, p.275–280.

Google Scholar

[3] M. H. Thomas, M. Dharmaraj, E. L. James, Post buckling analysis of a wind turbine blade substructure, J. Sol. Energ-T ASME. 127 (2005) 544–552.

Google Scholar

[4] W. Zhou, X. M. Liang, Y. J. Li, et al., Acoustic emission monitoring for delaminated composites under bending damage failure condition, AMM. 310 (2013) 51–54.

DOI: 10.4028/www.scientific.net/amm.310.51

Google Scholar

[5] A. A. Anastassopoulos, D. A. Kouroussis, et al., Structural integrity evaluation of wind turbine blades using pattern recognition analysis on acoustic emission data, Prague: Mazal. (2002) 21–28.

Google Scholar

[6] R. K. Goutham, S. Vishal, J. S. Mark, et al., Monitoring multi-site damage growth during quasi-static testing of a wind turbine blade using a structural neural system, Struct. Health Monit. 7 (2008) 157–173.

DOI: 10.1177/1475921708089746

Google Scholar

[7] A. G. Dutton, M. Blanch, P. Vionis, et al., Acoustic emission monitoring from wind turbine blades undergoing static and dynamic fatigue testing, Insight, 42 (2000) 805–808.

DOI: 10.2514/6.2002-63

Google Scholar

[8] R. K. Goutham, S. Vishal, J. S. Mark, et al., Monitoring multi-site damage growth during quasi-static testing of a wind turbine blade using a structural neural system, J. Struct. Health Monit. 7 (2008) 157–173.

DOI: 10.1177/1475921708089746

Google Scholar

[9] G. Pascale, A. D. Leo, R. Carli, et al., Evaluation of actual compressive strength of high strength concrete by NDT, A. Proc of 15th WCNDT [M/ CD]. Rome: 2000. 527.

Google Scholar

[10] J. Wei, J. McCarty. Acoustic emission evaluation of composite wind turbine blades during fatigue testing. Wind Eng. 17 (1993) 266–274.

Google Scholar

[11] M. S. Mahmood, R. Roham, Simulation of fatigue failure in a full composite wind turbine blade. Compos. Struct. 74 (2006) 332–342.

DOI: 10.1016/j.compstruct.2005.04.027

Google Scholar