Fatigue test planning using reliability and confidence simulation Online publication date: Tue, 01-Jul-2003
by Sankaran Mahadevan, Ruoxue Zhang
International Journal of Materials and Product Technology (IJMPT), Vol. 16, No. 4/5, 2001
Abstract: This paper develops a methodology for reliability test planning using computational reliability methods. Empirical methods of reliability estimation are based on tests on actual components and the use of classical statistics. Computational methods of reliability analysis propagate the uncertainty information about primitive variables through the system computational model to estimate the reliability. This paper combines the two approaches for cost-effective reliability testing. The proposed method also includes the uncertainties due to limitations and bias in data and the computational model. An adaptive method is developed to determine the number of tests needed to achieve a desired confidence level in the reliability estimate, by combining computational prediction and test data. The proposed approach is applied to the probabilistic life prediction of a composite helicopter rotor hub under fatigue loading, based on the delamination failure analysis of composite laminates.
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