2020
DOI: 10.1007/978-3-030-51264-4_4
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Set-Oriented and Finite-Element Study of Coherent Behavior in Rayleigh-Bénard Convection

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Cited by 2 publications
(2 citation statements)
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“…To extract Lagrangian coherent sets from spectral properties of the diffusion map, we apply the recently developed sparse eigenbasis approximation (SEBA) [23]. The combination of these methods allows us to disentangle the contribution of the tracer trajectories that are trapped in Lagrangian coherent sets to the overall heat transfer in comparison to the rest, extending our recent Lagrangian studies of RBC [13][14][15] to the analysis of turbulent transport. Figure 1 illustrates these coherent sets in panel (a) in a perspective view and replots representative trajectories in panel (b).…”
Section: Introductionmentioning
confidence: 99%
“…To extract Lagrangian coherent sets from spectral properties of the diffusion map, we apply the recently developed sparse eigenbasis approximation (SEBA) [23]. The combination of these methods allows us to disentangle the contribution of the tracer trajectories that are trapped in Lagrangian coherent sets to the overall heat transfer in comparison to the rest, extending our recent Lagrangian studies of RBC [13][14][15] to the analysis of turbulent transport. Figure 1 illustrates these coherent sets in panel (a) in a perspective view and replots representative trajectories in panel (b).…”
Section: Introductionmentioning
confidence: 99%
“…Our technique is based on the zero diffusion limit established in Froyland and Kwok (2016); it uses Arnoldi iterations to compute eigenvectors of the transfer operator L without the need of storing the matrix associated to its finite dimensional approximation. We therefore do not rely on the construction of finite-element bases and our method can be considered as an alternative to those of (Froyland and Junge (2018); Klünker et al (2020)). Crucially the same number of particles is used to compute FTLEs, rigid sets, or coherent sets with a resolution identical to that of the input velocity field.…”
Section: Introductionmentioning
confidence: 99%