Reliability-based Optimization Design of Mechanical Components with Truncated Normal Distributions

In some engineering applications, the probability distributions of some random variables are truncated. Under the conditions, if traditional reliability-based optimization design is directly used, difficulties may arise and this treatment may result in large errors in reliability-based optimization design. In view of above mentioned problems, the paper is to present a new reliability-based optimization design method that solves the problems with truncated normal random variables. The numerical examples are investigated to demonstrate the effectiveness and feasibility of the present method.