2017
DOI: 10.1063/1.4993613
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Topological bifurcations in the evolution of coherent structures in a convection model

Abstract: Blob filaments are coherent structures in a turbulent plasma flow. Understanding the evolution of these structures is important to improve magnetic plasma confinement. Three state variables describe blob filaments in a plasma convection model. A dynamical systems approach analyzes the evolution of these three variables. A critical point of a variable defines a feature point for a region where that variable is significant. For a range of Rayleigh and Prandtl numbers, the bifurcations of the critical points of t… Show more

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Cited by 7 publications
(7 citation statements)
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“…This illustrates a homogeneous fluid flow with a double-vortex appearing on the zero streamline by virtue of a twin saddle-centre bifurcation (see, e.g. [26]). A similar sequence can also be expected in a two-fluid flow illustrated in Fig.…”
Section: Limit Of a Thin Heavy Filmmentioning
confidence: 97%
“…This illustrates a homogeneous fluid flow with a double-vortex appearing on the zero streamline by virtue of a twin saddle-centre bifurcation (see, e.g. [26]). A similar sequence can also be expected in a two-fluid flow illustrated in Fig.…”
Section: Limit Of a Thin Heavy Filmmentioning
confidence: 97%
“…Since the two-dimensional streaming flow in our setting is time independent (streamlines ≡ pathlines) and incompressible (i.e. a streamfunction exists), our system can be equivalently represented as an autonomous Hamiltonian system with H ≡ Ψ , where H and Ψ correspond to the Hamiltonian and time-averaged streamfunction, respectively (Dam et al 2017). Due to the H ≡ Ψ equivalence, orbits of streaming fluid particles (iso-contours of Ψ ) can be interpreted as iso-contours of H, enabling us to describe the local flow topology using the scalar function H(x, y) alone (which is conserved along a streamline or fluid orbit).…”
Section: Streaming Flow Topology: a Dynamical Systems Viewmentioning
confidence: 99%
“…The above characterization allows us to investigate flow topology transitions using bifurcation theory. Since the two dimensional streaming flow in our setting is time-independent (streamlines ≡ pathlines) and incompressible (i.e a streamfunction exists), our system can be equivalently represented as an autonomous Hamiltonian system with H ≡ Ψ, where H and Ψ correspond to the Hamiltonian and time-averaged streamfunction, respectively [44]. Due to the H ≡ Ψ equivalence, orbits of streaming fluid particles (iso-contours of Ψ) can be interpreted as iso-contours of H, enabling us to describe the local flow topology using the scalar function H(x, y) alone (which is conserved along a streamline or fluid orbit).…”
Section: B Streaming Flow Topology: a Dynamical Systems Viewmentioning
confidence: 99%