44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2003
Probabilistic approaches in the design and analysis of aerospace vehicle have been attracting att... more Probabilistic approaches in the design and analysis of aerospace vehicle have been attracting attention in recent times. In particular, the fatigue life prediction and risk assessment of structural components is of importance in the aging aircraft. In this paper, we discuss the application of Monte Carlo simulation technique for determination of fatigue material constants to be used in the strain-based approach to fatigue. Service loadings on many components of structures are exposed to occasional severe events that are evaluated by strain-based approach. The strain-based approach considers the total strain as comprised of elastic and plastic strains. The deterministic relation based on the relationship between these two strain componets and the number of cycles for failure consists of four fatigue constants. In this paper, we have developed a method to generate life prediction of components. Using experimental data reported on a selected aluminum alloy, several probability density functions are fit to the data. Details of the goodness-of-fit are presented for different distributions. Monte Carlo simulation is used to vary the mean value of the fatigue parameters to develop a strain-life band. The strain range is covered in three segments, the low-cycle, high cycle, and transient regions. Graphs showing the total strain versus number of reversals to failure are shown. The simulated strain-life band using the proposed approach encompasses the entire test data and thus is a useful tool for probabilistic fatigue life estimation. *Presently at NAVAIR, Patuxent River, MD
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Papers by Ramesh Kolar