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Reliability-based robust design optimization of gap size of annular nuclear fuels using kriging and inverse distance weighting methods

机译：基于可靠性的鲁棒设计优化环形核燃料间隙尺寸的使用克里格和逆距离加权方法

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In this study, the design optimization of the gap size of annular nuclear fuels used in pressurized water reactors (PWRs) was performed. For this, thermoelastic-plasticity-creep (TEPC) analysis of PWR annular fuels was carried out using an in-house code to investigate the performance of nuclear fuels. Surrogate models based on the kriging and inverse distance weighting models were generated using computational performance data based on optimal Latin hypercube design. Using these surrogate models, the gap size of PWR annular fuel was deterministically optimized using the micro-genetic algorithm to improve the heat transfer efficiency and maintain a lower level of stress. Reliability-based design optimization and reliability-based robust design optimization were conducted to satisfy target reliability and secure the robustness of the PWRs' performance. The optimal gap size was validated through TEPC analysis and the optimum solutions were compared according to the approximate method and reliability index.
机译：在该研究中，进行了加压水反应器中使用的环形核燃料的间隙尺寸的设计优化（PWRS）。为此，使用内部代码进行PWR环形燃料的热弹性塑性 - 蠕变（TEPC）分析，以研究核燃料的性能。基于Kriging和逆距离加权模型的代理模型使用基于最优拉丁超立方体设计的计算性能数据生成。使用这些代理模型，使用微遗传算法确定PWR环形燃料的间隙尺寸，以提高传热效率并保持较低水平的应力。基于可靠性的设计优化和基于可靠性的鲁棒设计优化，以满足目标可靠性并确保PWRS性能的稳健性。通过TEPC分析验证最佳间隙大小，并根据近似方法和可靠性指数进行比较最佳解决方案。

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