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An operator-splitting Galerkin/SUPG finite element method for population balance equations : stability and convergence

Published online by Cambridge University Press:  31 May 2012

Sashikumaar Ganesan
Sashikumaar Ganesan*
Affiliation:
Numerical Mathematics and Scientific Computing, Supercomputer Education and Research Centre, Indian Institute of Science, 560012 Bangalore, India. sashi@serc.iisc.ac.in
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Abstract

We present a heterogeneous finite element method for the solution of a high-dimensional population balance equation, which depends both the physical and the internal property coordinates. The proposed scheme tackles the two main difficulties in the finite element solution of population balance equation: (i) spatial discretization with the standard finite elements, when the dimension of the equation is more than three, (ii) spurious oscillations in the solution induced by standard Galerkin approximation due to pure advection in the internal property coordinates. The key idea is to split the high-dimensional population balance equation into two low-dimensional equations, and discretize the low-dimensional equations separately. In the proposed splitting scheme, the shape of the physical domain can be arbitrary, and different discretizations can be applied to the low-dimensional equations. In particular, we discretize the physical and internal spaces with the standard Galerkin and Streamline Upwind Petrov Galerkin (SUPG) finite elements, respectively. The stability and error estimates of the Galerkin/SUPG finite element discretization of the population balance equation are derived. It is shown that a slightly more regularity, i.e. the mixed partial derivatives of the solution has to be bounded, is necessary for the optimal order of convergence. Numerical results are presented to support the analysis.

Keywords

Population balance equationsoperator-splitting methoderror analysisstreamline Upwind Petrov Galerkin finite element methodsbackward Euler scheme
Type
Research Article
Information
ESAIM: Mathematical Modelling and Numerical Analysis , Volume 46 , Issue 6 , November 2012 , pp. 1447 - 1465
Copyright
© EDP Sciences, SMAI, 2012

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