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Optimization of large-scale reacting flows using MPSalsa and sequential quadratric programming. (English) Zbl 1138.76344

Biegler, Lorenz T. (ed.) et al., Large-scale PDE-constrained optimization. Berlin: Springer (ISBN 3-540-05045-0/pbk). Lect. Notes Comput. Sci. Eng. 30, 45-59 (2003).
Summary: An rSQP optimization algorithm has been linked to the MPSalsa parallel reacting flows code. The goal is to develop SAND (Simultaneous Analysis aNd Design) methods for use with large-scale PDE simulations. MPSalsa is a unstructured grid finite element code that uses a fully coupled Newton method to solve the PDEs governing fluid flow, heat transfer, and non-dilute mass transfer. In this paper, we present results for optimization of a Chemical Vapor Deposition reactor for growing thin films of Gallium Nitride. In particular, we address issues of inexactness in the Jacobian matrix and of solution multiplicity.
For the entire collection see [Zbl 1021.00015].

MSC:

76D55 Flow control and optimization for incompressible viscous fluids
76V05 Reaction effects in flows
76M10 Finite element methods applied to problems in fluid mechanics
90C20 Quadratic programming

Software:

MPSalsa
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