三类气动导纳数值识别方法的适应性研究

Applicability study on three numerical methods for identifying aerodynamic admittances

  • 摘要: 针对气动导纳函数的数值识别方法,借助于CFD,在简谐脉动来流、湍流和竖向阶跃来流下对平板断面和箱梁断面的导纳函数函数进行研究。首先,在无断面存在的空流域内详细研究了简谐脉动来流、湍流和竖向阶跃来流的传播特性及其数值计算方法。其次,对有断面存在的情况进行了数值计算。最后,识别得到了平板断面和箱梁断面在三种不同来流下的气动导纳函数。结果表明:对平板断面,三种方法识别得到的气动导纳函数与Sears函数吻合良好,验证了三种数值计算方法的可行性;对箱梁断面,简谐来流和湍流下识别的气动导纳差别不大。相比之下,完全基于线性叠加原理的阶跃来流方法产生了实质性的偏差,表明该法不宜用于钝体断面。计算效率方面,湍流的计算效率适中且对任意断面适用;简谐脉动来流的计算效率最低,适用于气动导纳与风场无关和弱相关的断面;竖向阶跃流方法具有计算时间短的优势,但它仅能用于气动导纳与风场完全无关的断面。

     

    Abstract: For the numerical identification method of aerodynamic admittance functions, CFD is used to study the aerodynamic admittance functions of flat plate and box girder sections under harmonic fluctuating flow, broadband turbulent flow and vertical indicial wind flow. Firstly, properties of the wind flows, their propagating, and corresponding computational methodologies are investigated in the spatial domain in the absence of the cross sections. Then, CFD simulations are performed with sections being placed in the domain. Finally, the aerodynamic admittance functions of the two sections are identified in different wind fields. Numerical results indicate that, for the thin plate, aerodynamic admittance functions from all the three fields are in good agreement with the known Sears function, indicating reliability of adopted CFD numerical method. For the box girder section, no substantial difference is found between the broadband turbulent and the harmonic fluctuating methods. However, the method of indicial wind flow, which is based completely on linear superposition principle, can result in significant deviation from the other two methods, indicating inapplicability to bluff body sections. As for computational efficiency, the broadband turbulent method is moderate; the harmonic fluctuating method is of lowest efficiency and can be applied to sections of weak (or no) wind field dependence; the Küssner method, which is of the highest efficiency, is only applicable to sections completely independent on wind fields.

     

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