...
首页> 外文期刊>Aerospace science and technology >Application of the 3D multi-block CST method to hypersonic aircraft optimization
【24h】

Application of the 3D multi-block CST method to hypersonic aircraft optimization

机译:3D多块CST方法在高超音速飞机优化中的应用

获取原文
获取原文并翻译 | 示例
           

摘要

Applying a parameterization technique with fewer parameters and high fidelity improves the efficiency and accuracy of aerodynamic shape optimization. The class and shape transformation (CST) method is concise and efficient. Nevertheless, it is difficult to parameterize complex vehicle configurations using a unified CST method. This article presents a multi-block CST method after analyzing the mathematical description of the method, and this method joins adjacent surfaces smoothly and retains the good properties of the CST method. Modeling cases indicate that the multi-block CST method can reduce the number of design variables used to represent surfaces with uneven curvature distributions and can smoothly model various classes of surfaces. A system of aerodynamic shape optimization is developed based on the multi-block CST method, Pareto genetic algorithms and hypersonic aerodynamic engineering analysis, and the aerodynamic characteristics of a quasi-waverider wing-body vehicle are improved significantly after optimization. A novel configuration is also created using the optimization system. The optimization results indicate that the multi-block CST method, which involves fewer design variables and yields higher fidelity, is a powerful tool for aerodynamic shape optimization. (C) 2015 Elsevier Masson SAS. All rights reserved.
机译:应用参数较少,保真度高的参数化技术可提高空气动力学形状优化的效率和准确性。类和形状变换(CST)方法简洁高效。然而,使用统一的CST方法很难对复杂的车辆配置进行参数化。在分析该方法的数学描述之后,本文提出了一种多块CST方法,该方法将相邻表面平滑连接并保留了CST方法的良好性能。建模案例表明,多块CST方法可以减少用于表示曲率分布不均匀的表面的设计变量的数量,并且可以平滑地建模各种类型的表面。基于多段CST方法,Pareto遗传算法和高超音速空气动力学工程分析,开发了一种空气动力学形状优化系统,优化后显着改善了准波翼机翼车辆的空气动力学特性。使用优化系统还可以创建一种新颖的配置。优化结果表明,多块CST方法涉及较少的设计变量并产生较高的保真度,是进行气动形状优化的有力工具。 (C)2015 Elsevier Masson SAS。版权所有。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号