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Characteristics of Reliability-Dependent Hazard Rate for Composites Under Fatigue Loading

Published online by Cambridge University Press:  05 May 2011

C. L. Chen*
Affiliation:
Department of Mechanical Engineering, National Central University, Jhongli, Taiwan 32054, R.O.C.
Y. T. Tsai*
Affiliation:
Department of Mechanical Engineering, De-Lin Institute of Technology, Tucheng, Taiwan 23654, R.O.C.
K. S. Wang*
Affiliation:
Department of Mechanical Engineering, National Central University, Jhongli, Taiwan 32054, R.O.C.
*
*Graduate student
**Professor
***Professor, corresponding author
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Abstract

This paper studies the characteristics of a proposed reliability-dependent hazard rate function for composites under fatigue loading. The hazard rate function, in terms of reliability R, is in the form of e+c (1-R)p called (ecp) model, where e denotes the imbedded defects of material strength, c the coefficient of strength degradation, and p the memory characteristics of distributions of both applied stress and fatigue strength during the cumulative damage process. By taking a typical residual strength model in Monte Carlo simulation, this paper presents the time changing of the residual strength distribution and hazard rate of composite under various constant-amplitude cyclic stresses. The values of (e, c, p) are decided by fitting hazard rate function to the data generated in simulation. The results show that, under a suitable suggested value of e, p is a constant depending on the characteristics of stress distribution as well as the residual strength model used in Monte Carlo stimulation, and c is correlated to the maximum cyclic stress in a power-law relationship. Only by knowing the initial strength distribution and the maximum cyclic stress, the fatigue life can be easily estimated by integrating the reliability with time or its equivalent, i.e., the reciprocal of hazard rate function with reliability. Finally, by a proposed approximated equation of fatigue life, the (ecp) model is checked to be highly consistent with S-N curve in both the physical means and the equation form. The analysis presented here may be helpful in designing and maintenance planning of composite under fatigue loading.

Type
Articles
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2009

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References

1.Wang, K. S., Chang, S. T. and Shen, Y. C., “Dynamic Reliability Models for Fatigue Crack Growth Problem,” Journal of Engineering Fracture Mechanics, 54, pp. 543556 (1996).Google Scholar
2.Wang, K. S., Shen, Y. C., Chen, I. J. and Chen, Y. M., “Fatigue Reliability Based on S-N Curves,” The Chinese Journal of Mechanics, 12, pp. 525534 (1996).Google Scholar
3.Wang, K. S., Chen, C. S. and Huang, J. J., “Dynamic Reliability Behavior for Sliding Wear of Carburized Steel,” Reliability Engineering and System Safety, 58, pp. 3141 (1997).Google Scholar
4.Wang, K. S., Lin, W. S. and Hsu, F. S., “A New Approach for Determining the Reliability of Cutting Tool,” International Journal of Advanced Manufacturing Technology, 17, pp. 705709 (2001).Google Scholar
5.Lin, J. L., Wang, K. S., Yan, B. H. and Tarng, Y. S., “An Investigation of Improving the Electrode Reliability for Wear in the Electrical Discharge Machining Process,” The International Journal of Advanced Manufacturing Technology, 16, pp. 113119 (2000).Google Scholar
6.Wang, K. S., Hsu, F. S. and Chang, H. L., “The Relationship Between System Reliability and Hazard Rate,” The Chinese Journal of Mechanics Series B, 16, pp. 131139 (2000).Google Scholar
7.Wang, K. S. and Wan, E. H., “Reliability Consideration of a Flexible Manufacturing System from Fuzzy Information,” International Journal of Quality and Reliability Management, 10, pp. 4457 (1993).CrossRefGoogle Scholar
8.Wang, K. S., Shen, Y. C. and Huang, J. J., “Loading Adjustment for Fatigue Problem Based on Reliability Consideration,” Int. J. Fatigue, 19, pp. 693702 (1997).CrossRefGoogle Scholar
9.Wang, K. S., Hsu, F. S. and Liu, P. P., “Modeling the Bathtub Shape Hazard Rate Function in Terms of Reliability,” Reliability Engineering and System Safety, 75, pp. 397406 (2002).Google Scholar
10.Halpin, J. C., Johnson, T. A. and Waddups, M. E., “Kinetic Fracture Models and Structural Reliability,” Int. J. Fract. Mech., 8, pp. 465468 (1972).CrossRefGoogle Scholar
11.Reifsnider, K. L., “The Critical Element Model: A Modeling Philosophy,” Eng. Fract. Mech., 25, pp. 739749 (1986).Google Scholar
12.Reifsnider, K. L. and Stinchcomb, W. W., “A Critical Element Model of the Residual Strength and Life of Fatigue-Loaded Composite Coupons,” Composite Materials: Fatigue and Fracture, ASTM STP, 907, pp. 298313 (1986).Google Scholar
13.Charewicz, A. and Daniel, I. M., “Damage Mechanisms and Accumulation in Graphite/Epoxy Laminates,” Composite Materials: Fatigue and Fracture, ASTM STP, 907, pp. 274297 (1986).Google Scholar
14.Gamstedt, E. K. and Sjögren, B. A., “An Experimental Investigation of the Sequence Effect in Block Amplitude Loading of Cross-Ply Composite Laminates,” Int. J. Fatigue, 24, pp. 437446 (2002).CrossRefGoogle Scholar
15.Broutman, L. J. and Sahu, S., “A New Theory to Predict Cumulative Fatigue Damage in Fiberglass Reinforced Plastics,” Composite Materials: Testing and Design (2nd Conference), ASTM STP, 497, pp. 170188 (1972).Google Scholar
16.Hahn, H. T. and Kim, R. Y., “Proof Testing of Composite Materials,” J. Compos. Mat.; 9, pp. 297311 (1975).Google Scholar
17.Chou, P. C. and Croman, R., “Residual Strength in Fatigue Based on the Strength-Life Equal Rank Assumption,” J. Compos. Mat., 12, pp. 177194 (1978).Google Scholar
18.Yang, J. N. and Liu, M. D., “Residual Strength Degradation Model and Theory of Periodic Proof Tests for Graphite/Epoxy Laminates,” J. Compos. Mat., 11, pp. 176203 (1977).CrossRefGoogle Scholar
19.Yang, J. N. and Sun, C. T., “Proof Test and Fatigue of Unnotched Composite Laminates,” J. Compos. Mat., 14, pp. 168176 (1980).Google Scholar
20.Yang, J. N. and Jones, D. L., “Load Sequence Effects on the Fatigue of Unnotched Composites Laminates,” ASTM STP, 723, pp. 213232 (1981).Google Scholar
21.Sendeckyj, G. P., “Life Prediction for Resin-Matrix Composite Materials,” Composite Material Series, 4, Elsevier, pp. 431483 (1991).Google Scholar
22.Adam, T., Dickson, R. F., Jones, C. J., Reiter, H. and Harris, B., “A Power Law Fatigue Damage Model for Fiber-Reinforced Plastic Laminates,” Proc. Instn. Mech. Engrs., 200(C3), pp. 155166 (1986).Google Scholar
23.Sutcu, M. and Hillig, W. B., “The Effect of Fiber-Matrix Debond Energy on the Matrix Cracking Strength and the Debond Shear Strength,” Acta Metall., 38, pp. 26532662 (1990).Google Scholar
24.Chiang, Y. C., “Mechanics of Matrix Cracking in Bonded Composite,” Journal of Mechanics, 23, pp. 95106 (2007).Google Scholar
25.Philippidis, T. P. and Passipoularidis, V. A., “Residual Strength After Fatigue in Composites: Theory vs. Experiment,” Int. J. Fatigue, 29, pp. 21042116 (2007).Google Scholar
26.Shih, Y. C., “Study of the Relation Between Cumulative Failure and Reliability,” M.S. Thesis, Dept. of Mechanical Engineering, National Central University, Taiwan, R.O.C. (1990).Google Scholar
27.Philippidis, T. P., Assimakopoulou, T. T., Antoniou, A. E. and Passipoularidis, V. A., “Residual Strength Tests on ISO Standard ± 45_ Coupons,” B_TG5_R008_UP, Available from: http://www.kcwmc.nl/optimatblades/Publications (2005).Google Scholar
28.Siddall, J. N., Probabilistic Engineering Design Principles and Applications, Marcel Dekker, New York, U.S.A. (1983).Google Scholar