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A direct decoupling approach for efficient reliability-based design optimization

机译：直接解耦方法可实现基于可靠性的高效设计优化

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摘要

This paper develops an efficient methodology to perform reliability-based design optimization (RBDO) by decoupling the optimization and reliability analysis iterations that are nested in traditional formulations. This is achieved by approximating the reliability constraints based on the reliability analysis results. The proposed approach does not use inverse first-order reliability analysis as other existing decoupled approaches, but uses direct reliability analysis. This strategy allows a modular approach and the use of more accurate methods, including Monte-Carlo-simulation (MCS)-based methods for highly nonlinear reliability constraints where first-order reliability approximation may not be accurate. The use of simulation-based methods also enables system-level reliability estimates to be included in the RBDO formulation. The efficiency of the proposed RBDO approach is further improved by identifying the potentially active reliability constraints at the beginning of each reliability analysis. A vehicle side impact problem is used to examine the proposed method, and the results show the usefulness of the proposed method.
机译：本文通过解耦嵌套在传统公式中的优化和可靠性分析迭代，开发了一种有效的方法来执行基于可靠性的设计优化（RBDO）。这是通过根据可靠性分析结果近似可靠性约束来实现的。所提出的方法不像其他现有的解耦方法那样使用逆一阶可靠性分析，而是使用直接可靠性分析。这种策略允许采用模块化方法，并且可以使用更精确的方法，包括基于蒙特卡洛模拟（MCS）的方法，用于高度非线性的可靠性约束，其中一阶可靠性近似可能不准确。基于仿真的方法的使用还可以将系统级可靠性评估包括在RBDO公式中。通过在每次可靠性分析开始时确定潜在的活动可靠性约束，可以进一步提高所提出的RBDO方法的效率。通过对车辆侧面碰撞问题的研究，验证了该方法的有效性。

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