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Coupled Aerostructural Design Optimization Using the Kriging Model and Integrated Multiobjective Optimization Algorithm

机译:使用Kriging模型和集成多目标优化算法的耦合航空结构设计优化

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The paper develops and implements a highly applicable framework for the computation of coupled aerostructural design optimization. The multidisciplinary aerostructural design optimization is carried out and validated for a tested wing and can be easily extended to complex and practical design problems. To make the framework practical, the study utilizes a high-fidelity fluid/structure interface and robust optimization algorithms for an accurate determination of the design with the best performance. The aerodynamic and structural performance measures, including the lift coefficient, the drag coefficient, Von-Mises stress and the weight of wing, are precisely computed through the static aeroelastic analyses of various candidate wings. Based on these calculated performance, the design system can be approximated by using a Kriging interpolative model. To improve the design evenly for aerodynamic and structure performance, an automatic design method that determines appropriate weighting factors is developed. Multidisciplinary aerostructural design is, therefore, desirable and practical.
机译:本文开发并实现了高度适用的框架,用于计算耦合的航空结构设计优化。对经过测试的机翼进行了多学科的航空结构设计优化和验证,可以轻松地扩展到复杂和实际的设计问题。为了使该框架切实可行,该研究利用了高保真流体/结构接口和强大的优化算法来准确确定具有最佳性能的设计。通过对各种候选机翼进行静态气动弹性分析,可以精确计算出空气动力学和结构性能指标,包括升力系数,阻力系数,冯·米塞斯应力和机翼重量。基于这些计算出的性能,可以使用Kriging插值模型来近似设计系统。为了均匀地改善空气动力学和结构性能的设计,开发了一种确定适当权重因子的自动设计方法。因此,多学科的航空结构设计是理想且实用的。

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