A new efficient and accurate method for reliability sensitivity analysis of mechanical components is proposed based on the first-order reliability method (FORM). This method provides very close approximate solutions for strongly non-linear limit state functions with independent normal random variables. But most probable point should be searched at first. Three methods are presented and investigated for reliability-based sensitivity analysis. They are, respectively, based on three different reliability analysis methods which are mean-value first-order reliability method, Monte Carlo method, and FORM. Numerical results of the three methods are calculated out by three examples. The accuracy and efficiency of the new method are demonstrated by the comparison of the numerical results.
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