Technical Report 16, c4e-Preprint Series, Cambridge

A Monte Carlo method for identifcation and sensitivity analysis of coagulation processes

ref: Technical Report 16, c4e-Preprint Series, Cambridge

Associated Theme: Numerics

Abstract

A stochastic simulation algorithm is presented to calculate parametric derivatives of solutions of a population balance equation. The dispersed system is approximated by an N-particle stochastic weighted ensemble. The derivatives are accounted for through infinitesimal deviation of the statistical weights that are recalculated at each coagulation. Thus, all the parametric derivatives can be calculated along one trajectory of the process, given N sufficiently large. We use an operator-splitting technique to account for surface growth of the particles. The obtained solution is in good agreement with the available analytical solutions. As soon as the parametric derivatives are known the gradient-based methods can be applied to the control and identification of the coagulation process. The extension of the proposed technique to a multi-dimensional case is straightforward.

Material from this preprint has been published in: Journal of Computational Physics 200, 50-59, (2004)

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