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An objective-adaptive refinement criterion based on modified ridge extraction method for finite-time Lyapunov exponent (FTLE) calculation

机译:基于改进脊线提取方法的目标自适应细化准则用于有限时间李雅普诺夫指数(FTLE)计算

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摘要

Visualizing finite-time Lyapunov exponent (FTLE) efficiently and accurately has long been a research objective in identifying the coherent structures of turbulence or vortex flows. In this field, adaptive mesh refinement shows its effectiveness. The proposed objective-adaptive refinement (OAR) criterion can refine adaptive particles in the vicinity of FTLE ridges by a modified gradient climbing method. While error-based refinement methods suffer from ineffective refinement when the initial velocity field contains error, and refinement methods based on FTLE magnitude have issues with undulate ridges, our objective OAR criterion always steers the refinement toward the vicinity of FTLE ridges. Testing cases include Bickley jet, mild FTLE ridge and experimental single vortex, three-dimensional ABC flow. The results demonstrate that the proposed OAR criterion can give the right refinement region, and thus enhance computation efficiency, by means of accurate extraction of FTLE ridges.
机译:高效,准确地可视化有限时间Lyapunov指数(FTLE)一直是确定湍流或涡流相干结构的研究目标。在该领域,自适应网格细化显示了其有效性。提出的目标自适应细化(OAR)标准可以通过改进的梯度爬升方法细化FTLE脊附近的自适应粒子。当初始速度场包含误差时,基于错误的细化方法会遭受无效的细化,并且基于FTLE量值的细化方法会出现起伏的山脊问题,但我们的客观OAR准则始终将精化引向FTLE脊附近。测试案例包括Bickley射流,温和的FTLE脊和实验性单涡旋,三维ABC流。结果表明,通过准确提取FTLE脊,提出的OAR准则可以给出正确的细化区域,从而提高计算效率。

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