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Aeroelastic Wind Tunnel Test for Aerodynamic Uncertainty Model Validation

机译:气动弹性风洞试验用于气动不确定性模型验证

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A half model of a scaled aircraft is designed and tested in the wind tunnel to validate the uncertainty model for unsteady pressure coefficient in the frequency domain. In the wind tunnel test, a step-swept test was conducted to obtain the model's frequency response function. Then a time-domain response test was performed with turbulence excitation to identify the aircraft's on-line poles. Based on the tested frequency response function or the on-line poles, the structured singular value (μ) method was applied to determine the aerodynamic uncertainty level under the model validation framework. Finally, the widely used u analysis was again employed to analyze the worst-case flutter boundary, compared with the experimental flutter velocity. The experimental flutter velocity (30.5m/s) is in the range of the predicted robust flutter boundary (28.5m/s), in which parameters' uncertainties were taken into account in the numerical model. Experimental results validate that the uncertainty quantification theoretical frameworks incorporating experimental data can estimate the proper aerodynamic uncertainty level and predict a safe flutter boundary. The present results suggest that the time-response validation theoretical framework is more advantageous in robust stability analysis than the one upon the frequency response function validation.
机译:在风洞中设计并测试了比例飞机的半个模型,以验证频域中非恒定压力系数的不确定性模型。在风洞测试中,进行了逐步扫描测试以获得模型的频率响应函数。然后,在湍流激励下进行时域响应测试,以识别飞机的在线极点。基于测试的频率响应函数或在线极点,在模型验证框架下,应用结构奇异值(μ)方法确定空气动力学不确定性水平。最后,与实验颤振速度相比,再次使用了广泛使用的u分析来分析最坏情况下的颤振边界。实验颤振速度(30.5m / s)在预测的鲁棒颤振边界范围(28.5m / s)范围内,其中数值模型考虑了参数的不确定性。实验结果证明,结合实验数据的不确定性量化理论框架可以估计适当的空气动力学不确定性水平,并预测安全的扑动边界。目前的结果表明,时间响应验证理论框架在稳健性分析中比在频率响应函数验证中更具优势。

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