使用无网格 LSKUM 对纵向稳定性导数的增量变化进行基于邻接的形状扰动

IF 2.5 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Fluids Pub Date : 2024-07-27 DOI:10.1016/j.compfluid.2024.106387
Keshav S. Malagi , Anil Nemili , V. Ramesh , S.M. Deshpande
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引用次数: 0

摘要

本文介绍了切线和邻接过切线无网格求解器的开发情况,以精确计算纵向静态稳定导数及其形状敏感性。这些求解器采用算法微分技术构建。无网格求解器基于用于二维不粘性可压缩流的最小二乘动力学上风法(LSKUM)。为了利用梯度算法获得使稳定性导数发生增量变化的平滑形状,采用两步程序对形状敏感性进行平滑处理。第一步,使用索博列夫梯度平滑法平滑敏感度。之后,使用 Savitzky-Golay 滤波器进一步平滑敏感度,以获得曲率变化平滑的形状。LSKUM 原始求解器、切线求解器和邻接-过切线求解器被应用于 MS0313 机翼上亚音速气流的测试案例。数值结果表明,邻接-过切线求解器计算的形状敏感性非常精确,与正切-过切线求解器得到的数值的机器精度相匹配。此外,还介绍了增加或减少稳定性导数的扰动机翼形状。
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Adjoint based shape perturbations for incremental changes in the longitudinal stability derivative using the meshfree LSKUM

This paper presents the development of tangent linear and adjoint-over-tangent meshfree solvers to accurately compute the longitudinal static stability derivative and its shape sensitivities. These solvers are constructed using algorithmic differentiation techniques. The meshfree solver is based on the Least Squares Kinetic Upwind Method (LSKUM) for two-dimensional inviscid compressible flows. To obtain smooth shapes that make incremental changes in the stability derivative using gradient algorithms, shape sensitivities are smoothed using a two-step procedure. In the first step, sensitivities are smoothed using the Sobolev gradient smoothing. Later, the sensitivities are further smoothed using the Savitzky–Golay filter to get shapes with smooth curvature variation. The LSKUM primal, tangent, and adjoint-over-tangent solvers are applied to the test case of a subsonic flow over the MS0313 airfoil. Numerical results have shown that the adjoint-over-tangent solver computes the shape sensitivities very accurately and matches up to machine precision with the values obtained from the tangent-over-tangent solver. Perturbed airfoil shapes that increase or decrease the stability derivative are presented.

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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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