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Robust Generation of the Parabolized Stability Equation (PSE) Inflow Conditions for Automation of Transition Analysis

机译:可靠地生成代谢稳定方程(PSE)流入条件以实现过渡分析自动化

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The IAI CFD Department has developed a system of codes for stand-alone prediction of 3D boundary-layertransition on swept wings surface. The stability prediction method adopted relies on the most advanced mathematicalmodel Parabolized Stability Equations (PSE) [1,2,3,4,5]. The PSE approach is more accurate and consistent than theprevious classical Orr-Sommerfeld equation derived in the Linear Stability Theory (LST) of instabilities. Contrarilyto the LST theory, the PSE methodology removes the parallel flow assumption of the boundary layer flow takinginto account the dominant non-parallel effects in the mean-flow and in the perturbed quantities. Moreover anotherimportant feature of the PSE approach is that it considers the history of the longitudinal evolution of the disturbancesand wavenumber. The PSE technology enables the analysis of both Tollmien-Schlichting (TS) and Crossflow (CF)instabilities of 3D boundary-layers flows. The PSE initial solution relies on non yet automatic LST code (LSTGlobal Eigenvalue Solver) based on Chebyshev polynomials decomposition for which a tremendous amounts ofinformation, knowledge, and interaction from the user is required. Namely the user has to 1) locate and identify theinstabilities present in the flow, 2) select the instabilities that are susceptible of triggering transition, and 3) trackproperly the amplification maxima in the integration of the N factor. This is not acceptable in an industrialengineering environment. Since there is not automatic LST code, simplified models have been developed for anautomatic transition prediction capability for the industry, relying mainly on the ONERA database method [12, 13],where stability characteristics are precomputed for self-similar laminar boundary layer profiles and not for theNavier-Stokes profiles due to the lack of accuracy of most RANS codes, to serve as input to the equations ofstability. In contrast to this approach, in this work, a new way to generate automatically (with no user intervention)the initialization of PSE marching procedure is exposed. The solution of the linear stability equations at initializationis done now by converging iteratively the linear stability solver starting from new inflow empirical approximationformulas as initial guess obtained in special natural basis for CF and TS respectively. Moreover in this work onebenefits from the high accuracy of the RANS code NES which enables to overcome the well known major drawbackfor the direct coupling of most industrial RANS codes with linear stability programs (PSE or LST). Hence thisdevelopment permits an automatic use of the PSE solver coupled with the NES code, which is a real breakthrough inan industrial context.
机译:IAI CFD部门开发了一套用于独立预测3D边界层的代码系统 掠过的机翼表面过渡。所采用的稳定性预测方法依赖于最先进的数学方法 模型抛物线稳定方程(PSE)[1,2,3,4,5]。 PSE方法比PSE方法更准确,更一致 以前的经典Orr-Sommerfeld方程是根据不稳定性的线性稳定性理论(LST)得出的。相反 根据LST理论,PSE方法消除了边界层流动的平行流动假设 考虑到平均流量和扰动量中主要的非平行效应。而且另一个 PSE方法的重要特征是它考虑了扰动纵向演变的历史 和波数。 PSE技术可同时分析Tollmien-Schlichting(TS)和Crossflow(CF) 3D边界层流的不稳定性。 PSE初始解决方案依赖于尚未自动的LST代码(LST 全局特征值求解器),基于Chebyshev多项式分解,为此, 需要用户提供信息,知识和互动。即用户必须1)找到并标识 流程中存在的不稳定性,2)选择易于触发转换的不稳定性,以及3)跟踪 在N因子的积分中适当地增加最大放大倍数。这在工业中是不可接受的 工程环境。由于没有自动的LST代码,因此已经开发了简化的模型,用于 主要依靠ONERA数据库方法[12,13]的行业自动过渡预测能力, 其中稳定性特征是针对自相似层流边界层轮廓进行预计算的,而不是针对 由于大多数RANS代码缺乏准确性,因此Navier-Stokes配置文件可以用作以下方程的输入 稳定。与这种方法相比,在这项工作中,一种新的自动生成方式(无需用户干预) 公开了PSE前进过程的初始化。初始化时线性稳定性方程的解 现在可以通过迭代地收敛线性稳定性求解器来完成(从新的流入经验近似值开始) 分别作为CF和TS的特殊自然基础获得的初始猜测公式。而且在这项工作中 得益于RANS代码NES的高精度,可以克服众所周知的主要缺点 用于大多数工业RANS代码与线性稳定性程序(PSE或LST)的直接耦合。因此,这 开发过程允许PSE求解器与NES代码一起自动使用,这是 工业环境。

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