Abstract
In this paper, a control theory is used for planning inspections in service of fatigue-sensitive aircraft structure components under crack propagation. One of the most important features of control theory is its great generality, enabling one to analyze diverse systems within one unified framework. A key idea, which has emerged from this study, is the necessity of viewing the process of planning in-service inspections as an adaptive control process. Adaptation means the ability of self-modification and self-adjustment in accordance with varying conditions of environment. The adaptive control of inspection planning process in service of fatigued aircraft structures differs from ordinary stochastic control of inspection planning process in that it attempts to reevaluate itself in the light of uncertainties in service of aircraft structures as they unfold and change. Thus, a catastrophic accident during flight can be avoided.
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References
Bogdanoff, J.L., Kozin, F.: Probabilistic Models of Cumulative Damage. Wiley, New York (1985)
Lin, Y.K., Yang, J.N.: On Statistical Moments of Fatigue Crack Propagation. Engineering Fracture Mechanics 18, 243–256 (1985)
Yang, J.N., His, W.H., Manning, S.D.: Stochastic Crack Propagation with Applications to Durability and Damage Tolerance Analyses. Technical Report, Flight Dynamics Laboratory, Wright-Patterson Air Force Base, AFWAL-TR-85-3062 (1985)
Yang, J.N., Manning, S.D.: Stochastic Crack Growth Analysis Methodologies for Metallic Structures. Engineering Fracture Mechanics 37, 1105–1124 (1990)
Nechval, N.A., Nechval, K.N., Vasermanis, E.K.: Statistical Models for Prediction of the Fatigue Crack Growth in Aircraft Service. In: Varvani-Farahani, A., Brebbia, C.A. (eds.) Fatigue Damage of Materials 2003, pp. 435–445. WIT Press, Southampton (2003)
Nechval, N.A., Nechval, K.N., Vasermanis, E.K.: Estimation of Warranty Period for Structural Components of Aircraft. Aviation VIII, 3–9 (2004)
Nechval, N.A., Nechval, K.N., Berzinsh, G., Purgailis, M., Rozevskis, U.: Stochastic Fatigue Models for Efficient Planning Inspections in Service of Aircraft Structures. In: Al-Begain, K., Heindl, A., Telek, M. (eds.) ASMTA 2008. LNCS, vol. 5055, pp. 114–127. Springer, Heidelberg (2008)
Straub, D., Faber, M.H.: Risk Based Inspection Planning for Structural Systems. Structural Safety 27, 335–355 (2005)
Virkler, D.A., Hillberry, B.M., Goel, P.K.: The Statistic Nature of Fatigue Crack Propagation. ASME Journal of Engineering Materials and Technology 101, 148–153 (1979)
Ghonem, H., Dore, S.: Experimental Study of the Constant Probability Crack Growth Curves under Constant Amplitude Loading. Engineering Fracture Mechanics 27, 1–25 (1987)
Itagaki, H., Ishizuka, T., Huang, P.Y.: Experimental Estimation of the Probability Distribution of Fatigue Crack Growth Lives. Probabilistic Engineering Mechanics 8, 25–34 (1993)
Paris, R., Erdogan, F.: A Critical Analysis of Crack Propagation Laws. Journal of Basic Engineering 85, 528–534 (1963)
Grooteman, F.: A Stochastic Approach to Determine Lifetimes and Inspection Schemes for Aircraft Components. International Journal of Fatigue 30, 138–149 (2008)
Military Specification: Airplane Damage Tolerance Requirements. MIL-A-83444, USAF (1974)
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Nechval, K., Nechval, N., Berzinsh, G., Purgailis, M., Rozevskis, U., Strelchonok, V. (2009). Optimal Adaptive Inspection Planning Process in Service of Fatigued Aircraft Structures. In: Al-Begain, K., Fiems, D., Horváth, G. (eds) Analytical and Stochastic Modeling Techniques and Applications. ASMTA 2009. Lecture Notes in Computer Science, vol 5513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02205-0_25
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DOI: https://doi.org/10.1007/978-3-642-02205-0_25
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