Intelligent Planning Reliability-Based Inspections of Fatigued Structures for the Crack Initiation Period in the Weibull Case under Parametric Uncertainty
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In this paper, periodic inspections of fatigued structures, which are common practice in order to maintain their reliability above a desired minimum level, are based on the conditional reliability of the structure. It is assumed that only the functional form of the underlying distribution of time to crack initiation (when a technically detectable crack is present) is specified, but some or all of its parameters are unspecified. The new technique of intelligent planning is proposed in this paper to construct more accurate reliability-based and cost-effective inspections of fatigued structures with decreasing intervals (as alternative to constant intervals) for the crack initiation period in the Weibull case under parametric uncertainty. The technique is conceptually simple and easy to use. To illustrate the suggested technique some numerical examples are given.
Keywordsfatigued structure crack initiation period weibull model parametric uncertainty reliability-based and cost-effective inspections intelligent planning
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- 1.Stephens, R.I., Fatemi, A., Stephens, R., and Fuchs, H.O., Metal Fatigue in Engineering, New York: John Wiley and Sons, USA, 2000.Google Scholar
- 2.Miner, M.A., Cumulative damage in fatigue, J. Appl. Mech., 1945, vol. 12, pp. 159–164.Google Scholar
- 4.Nechval, K.N., Ensuring and checking reliability and survivability of aircraft structures with Weibull distribution law of fatigue durability, Doctoral (Eng.) Dissertation, Riga: Technical University of Riga, 2008.Google Scholar
- 5.Military Specification, Airplane Damage Tolerance Requirements, MIL-A-83444 (USAF), 1974.Google Scholar
- 6.Nechval, N.A., Nechval, K.N., and Vasermanis, E.K., Statistical models for prediction of the fatigue crack growth in aircraft service, in Fatigue Damage of Materials, Varvani-Farahani, A. and Brebbia, C.A., Eds., Southampton, Boston: WIT Press, 2003, pp. 435–445.Google Scholar
- 7.Nechval, N.A., Nechval, K.N., and Vasermanis, E.K., Estimation of warranty period for structural components of aircraft, Aviation, 2004, vol. VIII, pp. 3–9.Google Scholar
- 15.Nechval, N.A., Nechval, K.N., Berzins, G., Purgailis, M., and Rozevskis, U., Stochastic fatigue models for efficient planning inspections in service of aircraft structures, in Analytical and Stochastic Modeling Techniques and Applications, Al-Begain, K., Heindl, A., and Telek, M., Eds., Berlin, Heidelberg: Springer-Verlag, 2008; Lect. Notes Comput. Sci., 2008, vol. 5055, pp. 114–127.CrossRefGoogle Scholar
- 16.Nechval, K.N., Nechval, N.A., Berzins, G., Purgailis, M., Rozevskis, U., and Strelchonok, V.F., Optimal adaptive inspection planning process in service of fatigued aircraft structures, in Analytical and Stochastic Modeling Techniques and Applications, Al-Begain, K., Fiems, D., and Horvath, G., Eds., Berlin, Heidelberg: Springer-Verlag, 2009; Lect. Notes Comput. Sci., 2009, vol. 5513, pp. 354–369.CrossRefGoogle Scholar
- 17.Nechval, N.A., Nechval, K.N., and Purgailis, M., Inspection policies in service of fatigued aircraft structures, in Electrical Engineering and Applied Computing, Ao, S.I. and Gelman, L., Eds., Berlin, Heidelberg: Springer Science+Business Media B.V., 2011; Lect. Notes Electr. Eng., 2011, vol. 90, pp. 459–472.CrossRefGoogle Scholar