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Abstract: In order to enhance the reliability of an uncertain structure with interval parameters and reduce its chance of function failure under potentially critical conditions, an interval reliability-based design optimization model is constructed. With the introduction of a unified formula for efficiently computing interval reliability, a new concept of the degree of interval reliability violation (DIRV) and the DIRV-based preferential guidelines are put forward for the direct ranking of various design vectors. A direct interval optimization algorithm integrating a nested genetic algorithm (GA) and the Kriging technique is proposed for solving the interval reliability-based design model, which avoids the complicated model transformation process in indirect ones and yields an interval solution that provides more insights into the optimization problem. The effectiveness of the proposed algorithm is demonstrated by a numeric example. Finally, the proposed direct reliability-based design optimization method is applied to the optimization of a press upper beam with interval uncertain parameters, the results of which demonstrate its feasibility and effectiveness in engineering.

This paper aims to present an interval reliability-based design optimization method for uncertain structures with bounded parameters, which proposed the concept of DIRV and the DIRV-based preferential guidelines, and integrates the GA and Kriging technique for solving the interval reliability-based optimization model. A typical numerical example, as well as an engineering application is applied to demonstrate the effectiveness of the proposed method. This paper is overall well written in language and focused on a very interesting research topic.

含区间参数的不确定性结构直接可靠性设计优化

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