In the reliability analysis of a complex engineering structure a very large number of the system parameters can be considered to be random variables. The difficulty in computing the failure probability increases rapidly with the number of variables, and the aim of the present paper is to propose methods whereby the number of variables can be reduced without compromising the accuracy of the reliability calculation. The reduction methods are based on the sensitivity of the failure surface. Limited numerical examples are provided to illustrate the proposed methods
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