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http://dx.doi.org/10.3795/KSME-A.2011.35.10.1281

Statistical Distribution of Fatigue Life of Composite Materials for Small Wind-Turbine Blades  

Kang, Ki-Weon (Break-through Technology Center for Urban Wind Energy System, Kunsan Nat'l Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.35, no.10, 2011 , pp. 1281-1289 More about this Journal
Abstract
This paper deals with several statistical distribution functions for the analysis of fatigue life data of composite laminates for small wind-turbine blades. A series of tensile tests was performed on triaxial glass/epoxy laminates for loading directions of $0^{\circ}$, $45^{\circ}$, and $90^{\circ}$. Then, fatigue tests were carried out to determine the fatigue life at the aforementioned loading directions and the fatigue stresses at four levels. Two-parameter Weibull, three-parameter Weibull, normal, and log-normal distributions were used to fit the fatigue life data of the triaxial composite laminates. The three-parameter Weibull distribution most accurately described the fatigue life data measured experimentally for all the cases considered. Furthermore, the variation of fatigue life was simultaneously affected by the loading direction and fatigue stress level.
Keywords
Composite Blade; Fatigue Life; Probabilistic Distribution Model; Variation;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 ASTM D 3039-00, 2000, "Standard Test Method for Tensile Properties of Polymer Matrix Composite Materials."
2 Zhao Y.-X., Gao Q., Sun X.-F., 1998, "A Statistical Investigation of The Fatigue Lives of Q235 Steel-Welded Joints," Fatigue & Fracture of Engineering Materials & Structures, Vol. 27, pp. 781-790.
3 Freudenthal, A. M., 1947,"The Safety of Structures," Transactions of ASCE, Vol. 112, pp. 125-180
4 Weibull++7, 2008, Users Manual, Reliasoft Inc.
5 Kang, K. W., Koh, S.K., Kim, D.K. and Kim, K.J., 2009, "Assessment of the Statistical Distribution of Flexural Strength of Woven-fabric Laminates with Impact-Induced Damage," Composite Structures, Vol. 90, pp.60-66   DOI   ScienceOn
6 Abernethy, R. B., 1996, "The New Weibull Handbook," 2nd Edition, SAE Professional Development, pp. 2-7.
7 Sakin, R. and Ay, I., 2008, "Statistical Analysis of Bending Fatigue Life Data Using Weibull Distribution in Glass-Fiber Reinforced Polyester Composites," Materials and Design, Vol. 29, pp. 1170-1181.   DOI   ScienceOn
8 Dong, K.M., Jung, S.N. and Shin, C., 2001 "Perfomance Prediction and Structural Analysis of Counter-Rotating Wind Turbine Blade," Proceeding of The Korean Society for Aeronautical & Space Sciences, 2001, Autumn, pp.708-711
9 Kim, J.K., Lim. D.M., Yoon, I.S. and Kang, K.W., 2006, "Fatigue Analysis of Fiber-Reinforced Composites Using Damage Mechanics," Transaction of KSME (A), Vol. 30, No. 2, pp.112-119   과학기술학회마을   DOI   ScienceOn
10 Kam, T.Y., Tsai, S.Y. and Chu, K.H., 1997, "Fatigue Reliability Analysis of Composite Laminates Under Spectrum Stress," International Journal of Solids Structures, Vol. 34, pp. 1441-1461   DOI   ScienceOn
11 Yang, J.N. and Jones, D.L., 1980, "Effect of Load Sequence on the Statistical Fatigue of Composites," AIAA Journal, Vol.18, pp.1525-1531   DOI   ScienceOn
12 Tanaka, S., Ichikawa, M. and Akita, S., 1984, "A Probabilistic Investigation of Fatigue Life and Cumulative Cycle Ratio," Engineering Fracture and Mechanics, Vol. 20, pp. 501-513   DOI   ScienceOn
13 Liu., Y. and Mahadevan. S, 2005, "Probabilistic Fatigue Life Prediction of Multidirectional Composite Laminates," Composite Structures, Vol. 69, pp.11-19   DOI   ScienceOn
14 Kang, K.W., Lim, D.M. and Kim, J.K., 2008, "Probabilistic Analysis for the Fatigue Life of Carbon/epoxy Laminates," Composite Structures, Vol. 85, pp.258-264   DOI   ScienceOn