Reliability based robust design of vehicle Rear-axle housing with non-normal random parameters

Combining the reliability-based optimization design theory, the reliability sensitivity method and the robust design approach, and using the fourth-moment method, the reliability-based robust design of rear-axle housing with non-normal random parameters is extensively discussed and a numerical method for reliability-based robust design is proposed. The reliability sensitivity is added to the reliability-based optimization design model and the reliability-based robust optimization design is described as a multi-objection optimization. Under the condition that the first four moments of basic random parameters are available, the corresponding program can be used to obtain the reliability robust design information of rear-axle housing with non-normal random parameters accurately and quickly. The method presented in this paper provided the theoretic basis for the reliability design of the rear-axle housing. According to the numerical results, the approach proposed is a convenient and practical reliability-based roust design method.