Abstract
Road vibrations cause fatigue failures in the automotive exhaust system. Evaluation of exhaust system reliability is investigated by using bivariate joint distribution model to account for dependence between exhaust components. Cumulative damages are derived to be used as the random variables in the distribution model. In the case study with a light duty truck exhaust system, the model parameters were estimated using maximum likelihood method based on marginal distributions. The dependence parameters between components were determined through bench tests of twelve (12) exhaust systems. Result comparison demonstrated the influence of component dependence on the point estimate and statistic inference of the system reliability.
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