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首页> 外文期刊>Bulletin of the American Physical Society >APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - Adjoint Sensitivity Analysis for Scale-Resolving Turbulent Flow Solvers
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APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - Adjoint Sensitivity Analysis for Scale-Resolving Turbulent Flow Solvers

机译:APS-000TH流体动力学APS划分的年会 - 比例湍流流量求解伴随的伴随敏感性分析

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Adjoint-based sensitivity analysis methods are powerful design tools for engineers who use computational fluid dynamics. In recent years, these engineers have started to use scale-resolving simulations like large-eddy simulations (LES) and direct numerical simulations (DNS), which resolve more scales in complex flows with unsteady separation and jets than the widely-used Reynolds-averaged Navier-Stokes (RANS) methods. However, the conventional adjoint method computes large, unusable sensitivities for scale-resolving simulations, which unlike RANS simulations exhibit the chaotic dynamics inherent in turbulent flows.Sensitivity analysis based on least-squares shadowing (LSS) avoids the issues encountered by conventional adjoint methods, but has a high computational cost even for relatively small simulations [1]. The following talk discusses a more computationally efficient formulation of LSS, ``non-intrusive'' LSS, and its application to turbulent flows simulated with a discontinuous-Galkerin spectral-element-method LES/DNS solver. Results are presented for the minimal flow unit, a turbulent channel flow with a limited streamwise and spanwise domain. oindent [1] Q. Wang, R. Hui, and P. Blonigan. Least squares shadowing sensitivity analysis of chaotic limit cycle oscillation
机译:基于伴随的敏感性分析方法是使用计算流体动力学的工程师的强大设计工具。近年来,这些工程师已经开始使用大涡模拟(LES)和直接数值模拟(DNS)等规模解析模拟,这些模拟(DNS)在复杂的流量中解析了比较不稳定的雷诺平均值的复杂流和喷气机中的更多尺度Navier-Stokes(RANS)方法。然而,传统的伴随方法计算规模解析模拟的大型不可用的灵敏度,这与Rans模拟不同,湍流流动中固有的混沌动态。基于最小二乘范围的敏感性分析避免了传统伴随方法所遇到的问题,但即使对于相对较小的模拟也具有高计算成本[1]。以下谈话讨论了LSS,“非侵入式”LSS的更加计算上高效的制定,以及其在用不连续 - Galkerin光谱 - 元素方法LES / DNS求解器模拟的湍流流程。结果用于最小流量单元,具有有限的流动和跨域域的湍流通道流。 oindent [1] Q. Wang,R. Hui和P. Blonigan。最小二乘混沌极限周期振荡遮蔽敏感性分析

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