...
首页> 外文期刊>The Aeronautical Journal >A comparative assessment of flutter prediction techniques
【24h】

A comparative assessment of flutter prediction techniques

机译:振动预测技术的比较评估

获取原文
获取原文并翻译 | 示例
           

摘要

To establish flutter onset boundaries on the flight envelope, it is required to determine the flutter onset dynamic pressure. Proper selection of a flight flutter prediction technique is vital to flutter onset speed prediction. Several methods are available in literature, starting with those based on velocity damping, envelope functions, flutter margin, discrete-time Autoregressive Moving Average (ARMA) modelling, flutterometer and the Houbolt-Rainey algorithm. Each approach has its capabilities and limitations. To choose a robust and efficient flutter prediction technique from among the velocity damping, envelope function, Houbolt-Rainey, flutter margin and auto-regressive techniques, an example problem is chosen for their evaluation. Hence, in this paper, a three-degree-of-freedom model representing the aerodynamics, stiffness and inertia of a typical wing section is used(1). The aerodynamic, stiffness and inertia properties in the example problem are kept the same when each of the above techniques is used to predict the flutter speed of this aeroelastic system. This three-degree-of-freedom model is used to generate data at speeds before initiation of flutter, during flutter and after occurrence of flutter. Using these data, the above-mentioned flutter prediction methods are evaluated and the results are presented.
机译:建立飞行信封上的颤动发作边界,需要确定颤振动态压力。正确选择飞行颤动预测技术对于颤动发作速度预测至关重要。文献中有几种方法,从基于速度阻尼,包络功能,颤动率,离散时间自回归移动平均(ARMA)建模,浮动计和Houbolt-Rainey算法的那些方法。每种方法都有其能力和限制。为了从速度阻尼,包络功能,Houbolt-Rainey,颤动率和自动回归技术中选择稳健和有效的颤动预测技术,选择了一个示例问题以获得评估。因此,在本文中,使用三维自由度模型,其代表典型的翼形部分的空气动力学,刚度和惯性的自由度模型(1)。当使用上述每个技术用于预测该空气弹性系统的颤动速度时,示例性问题中的空气动力学,刚度和惯性性能保持相同。这种三维自由度模型用于在发起颤动期间在颤动期间和颤动发生后发起速度的速度。使用这些数据,评估上述颤动预测方法并呈现结果。

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