2007
DOI: 10.1063/1.2714295
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Instabilities in buoyant flows under localized heating

Abstract: We study, from the numerical point of view, instabilities developed in a fluid layer with a free surface in a cylindrical container which is nonhomogeneously heated from below. In particular, we consider the case in which the applied heat is localized around the origin. An axisymmetric basic state appears as soon as a nonzero horizontal temperature gradient is imposed. The basic state may bifurcate to different solutions depending on vertical and lateral temperature gradients and on the shape of the heating fu… Show more

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Cited by 34 publications
(13 citation statements)
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“…. , M (Navarro et al 2007;Pla et al 2009). Therefore, a linear system AX ¼ B is derived at each iteration step of the Newton method, where X is a vector of P ¼ 4 × N × M unknowns and A is a matrix of order P × P.…”
Section: Boundary Conditionsmentioning
confidence: 99%
See 1 more Smart Citation
“…. , M (Navarro et al 2007;Pla et al 2009). Therefore, a linear system AX ¼ B is derived at each iteration step of the Newton method, where X is a vector of P ¼ 4 × N × M unknowns and A is a matrix of order P × P.…”
Section: Boundary Conditionsmentioning
confidence: 99%
“…We utilized the Chebyshev collocation method to solve the basic state, such that the partial derivatives to time of v and temperature u in equations (1-3) are 0 (Foster 1969;Canuto et al 1988;Navarro et al 2007;Pla et al 2009), as well as a Newton-like iterative method to treat the non-linearity (Navarro et al 2007). This applies until a difference in the two successive steps is less than 10 27 (Pla & Herrero 2011).…”
Section: Boundary Conditionsmentioning
confidence: 99%
“…(a) Critical instability curves R(m, Γ ) for a fluid layer with constant viscosity (µ = 0); (b) critical instability curves R(m, Γ ) for a fluid layer with temperature dependent viscosity (µ = 0.0862).Stationary equations and boundary conditions are solved by an iterative Newton-like method, similarly to the procedure used to compute basic states in[33]. In this method an approximate solution v s x , v s z , P s , θ s is required at the beginning (step s = 0).This choice is the key to success of the iterative method, and in fact all branch continuation techniques depend on finding the most appropriate one[34].…”
mentioning
confidence: 99%
“…The numerical method is described in detail and tested in Refs. [14,16]. L = 33 and N = 21 are considered in our computations.…”
Section: Stationary States and Linear Stability Analysismentioning
confidence: 99%