Monte Carlo Information-Reuse Approach to Aircraft Conceptual Design Optimization Under Uncertainty
Monte Carlo Information-Reuse Approach to Aircraft Conceptual Design Optimization Under Uncertainty
复制标题
不确定性下飞机概念设计优化的蒙特卡罗信息重用方法
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
K. Willcox
中科院分区：
文献类型：
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作者：
L. W. Ng;K. Willcox
针对不确定性问题，提出了一种多信息源的航天器设计方法。作为该方法的一个具体演示，它提出了一个先进的亚音速运输机的不确定性下的优化开发，以满足NASA的N+3的目标，并显示了多信息源的方法如何使实际周转时间为这个概念飞机优化不确定性问题。在概念设计阶段，基础技术的未来发展往往存在不确定性。随着技术在中期和详细设计阶段的成熟，对不确定性具有鲁棒性的飞机设计更有可能满足性能要求，从而减少了昂贵的重新设计的需要。在这里选择的特定示例中，提出了新的方法，多信息源方法使用信息重用估计器，该估计器利用飞机模型在设计空间中的相关性，以减少多个信息源的数量。
This paper develops a multi-information source formulation for aerospace design under uncertainty problems. As a specific demonstration of the approach, it presents the optimization under uncertainty of an advanced subsonic transport aircraft developed to meet the NASA N+3 goals and shows how the multi-information source approach enables practical turnaround time for this conceptual aircraft optimization under uncertainty problem. In the conceptual design phase, there are often uncertainties about future developments of the underlying technologies. An aircraft design that is robust to uncertainty is more likely to meet performance requirements as the technologies mature in the intermediate and detailed design phases, reducing the need for expensive redesigns. In the particular example selected here to present the new approach, the multi-information source approach uses an information-reuse estimator that takes advantage of the correlation of the aircraft model in the design space to reduce the number of m...
影响因子：
2.7
作者：
Giles, Michael B.
通讯作者：
Giles, Michael B.