School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, 204 Rogers Hall, Corvallis, Oregon 97331, USA.
Chaos. 2013 Mar;23(1):013145. doi: 10.1063/1.4795749.
The computation of Lagrangian coherent structures typically involves post-processing of experimentally or numerically obtained fluid velocity fields to obtain the largest finite-time Lyapunov exponent (FTLE) field. However, this procedure can be tedious for large-scale complex flows of general interest. In this work, an alternative approach involving computation of the FTLE on-the-fly during direct numerical simulation of the full three dimensional Navier-Stokes equations is developed. The implementation relies on Lagrangian particle tracking to compose forward time flow maps, and an Eulerian treatment of the backward time flow map [S. Leung, J. Comput. Phys. 230, 3500-3524 (2011)] coupled with a semi-Lagrangian advection scheme. The flow maps are accurately constructed from a sequence of smaller sub-steps stored on disk [S. Brunton and C. Rowley, Chaos 20, 017503 (2010)], resulting in low CPU and memory requirements to compute evolving FTLE fields. Several examples are presented to demonstrate the capability and parallel scalability of the approach for a variety of two and three dimensional flows.
拉格朗日相干结构的计算通常涉及对实验或数值获得的流场进行后处理,以获得最大有限时间李雅普诺夫指数 (FTLE) 场。然而,对于一般感兴趣的大规模复杂流动,此过程可能很繁琐。在这项工作中,开发了一种替代方法,即在对完全三维纳维-斯托克斯方程进行直接数值模拟的过程中实时计算 FTLE。该实现依赖于拉格朗日粒子跟踪来组成向前时间流图,以及对向后时间流图的欧拉处理 [S. Leung, J. Comput. Phys. 230, 3500-3524 (2011)] 与半拉格朗日平流方案相结合。流图是从存储在磁盘上的一系列较小的子步骤准确构建的 [S. Brunton 和 C. Rowley, Chaos 20, 017503 (2010)],从而降低了计算不断发展的 FTLE 场的 CPU 和内存要求。展示了该方法对于各种二维和三维流动的能力和并行可扩展性的几个示例。