2016
DOI: 10.1063/1.4961066
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Finite-time Lyapunov exponent-based analysis for compressible flows

Abstract: The finite-time Lyapunov exponent (FTLE) technique has shown substantial success in analyzing incompressible flows by capturing the dynamics of coherent structures. Recent applications include river and ocean flow patterns, respiratory tract dynamics, and bio-inspired propulsors. In the present work, we extend FTLE to the compressible flow regime so that coherent structures, which travel at convective speeds, can be associated with waves traveling at acoustic speeds. This is particularly helpful in the study o… Show more

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Cited by 22 publications
(7 citation statements)
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“…We need a quantitative, computable metric that definitively indicates whether chaos exists in the flow or not. The Lyapunov exponent is commonly used in dynamical systems to measure the sensitivity of a system to its initial conditions; it directly characterizes the rate of exponential growth of (infinitesimal) material elements (see, e.g., Allshouse & Peacock, 2015) in both volume-preserving flows and more recently, non-volume-preserving flows (González et al, 2016;Pérez-Muñuzuri, 2014;Volk et al, 2014).…”
Section: Ftlesmentioning
confidence: 99%
“…We need a quantitative, computable metric that definitively indicates whether chaos exists in the flow or not. The Lyapunov exponent is commonly used in dynamical systems to measure the sensitivity of a system to its initial conditions; it directly characterizes the rate of exponential growth of (infinitesimal) material elements (see, e.g., Allshouse & Peacock, 2015) in both volume-preserving flows and more recently, non-volume-preserving flows (González et al, 2016;Pérez-Muñuzuri, 2014;Volk et al, 2014).…”
Section: Ftlesmentioning
confidence: 99%
“…Similar conclusions are reached by referring to local scale evolution through computation of Lyupanov exponents, instead of referring to global evolution as from the overall compositional spectrum in the chamber. In particular, we refer to the maximum value of finite-time Lyupanov Exponents 44 (FTLE):where dz ( t ) and dz ( t + T ) are distances between Lagrangian trajectories at time t and t + T . Figure 7d shows the computed maximum FTLE values, while Fig.…”
Section: Discussionmentioning
confidence: 99%
“…Zhu et al 2018). Recently, González et al (2016) showed that the dilatation contours are a surrogate for the time rates of the pressure and density gradient, and hence are the basis of schlieren in the sound visualization. These authors also conjectured the close link between dilatation and the finite-time Lyapunov exponent, a method pioneered by Haller (2001) for tracking the Lagrangian evolution of turbulent coherent structures.…”
Section: Longitudinal Process By Dilatationmentioning
confidence: 99%