Arthur Poulain , Cédric Content , Aldo Schioppa , Pierre Nibourel , Georgios Rigas , Denis Sipp
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Both theoretical and numerical aspects of the methodology are described: evaluation of matrix–vector products with S-TSM Jacobian (or its transpose) by algorithmic differentiation, solution of fixed-points with quasi-Newton method and de-aliasing in time and space, solution of direct and adjoint linear systems by iterative algorithms with a block-circulant preconditioner, performance assessment in CPU time and memory. We illustrate the methodology on the case of 3D instabilities (first Mack mode) triggered within a developing adiabatic boundary layer at M = 4.5. A gradient-ascent method allows to identify a finite-amplitude 3D forcing that triggers a non-linear response exhibiting the strongest time- and span-averaged drag on the flat-plate. 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引用次数: 0
摘要
我们的目标是计算跨度不变配置中的时间和跨度周期流场。流向导数和横流导数采用有限体积离散法,而时间和跨度方向则采用伪谱傅里叶定位法。在此过程中,通过考虑有限数量的时间和跨度谐波的非线性相互作用,我们将经典的时间频谱法(TSM)扩展为时空频谱法(S-TSM)。在优化方面,我们引入了一个基于邻接的框架,可以高效计算任何成本函数相对于大维度控制参数的梯度。我们从理论和数值两方面对该方法进行了描述:通过算法微分对具有 S-TSM 雅各布(或其转置)的矩阵向量积进行评估,用准牛顿法解决定点问题,并在时间和空间上进行去锯齿处理,用具有块环流预处理器的迭代算法解决直接和邻接线性系统问题,以及在 CPU 时间和内存方面进行性能评估。我们以 M = 4.5 时在发展中绝热边界层内引发的三维不稳定性(第一 Mack 模式)为例说明了该方法。梯度上升法可以确定一个有限振幅的三维强迫,该强迫会触发非线性响应,在平板上表现出最强的时间和跨度平均阻力。考虑到流动控制,梯度下降法最终确定了一个有限幅值的二维壁面热通量,在先前确定的非线性最佳强迫条件下,使平板的平均阻力最小。
Adjoint-based optimisation of time- and span-periodic flow fields with Space–Time Spectral Method: Application to non-linear instabilities in compressible boundary layer flows
We aim at computing time- and span-periodic flow fields in span-invariant configurations. The streamwise and cross-stream derivatives are discretised with finite volumes while time and the span-direction are handled with pseudo-spectral Fourier-collocation methods. Doing so, we extend the classical Time Spectral Method (TSM) to a Space–Time Spectral Method (S-TSM), by considering non-linear interactions of a finite number of time and span harmonics. For optimisation, we introduce an adjoint-based framework that allows efficient computation of the gradient of any cost functional with respect to a large-dimensional control parameter. Both theoretical and numerical aspects of the methodology are described: evaluation of matrix–vector products with S-TSM Jacobian (or its transpose) by algorithmic differentiation, solution of fixed-points with quasi-Newton method and de-aliasing in time and space, solution of direct and adjoint linear systems by iterative algorithms with a block-circulant preconditioner, performance assessment in CPU time and memory. We illustrate the methodology on the case of 3D instabilities (first Mack mode) triggered within a developing adiabatic boundary layer at M = 4.5. A gradient-ascent method allows to identify a finite-amplitude 3D forcing that triggers a non-linear response exhibiting the strongest time- and span-averaged drag on the flat-plate. In view of flow control, a gradient-descent method finally determines a finite amplitude 2D wall-heat flux that minimises the averaged drag of the plate in presence of the previously determined non-linear optimal forcing.
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.