Numerics and optimal control of phase-field models for multiphase flow

Lunari A (2018)
Bielefeld: Universität Bielefeld.

Bielefelder E-Dissertation | Englisch
 
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Gutachter*in / Betreuer*in
Banas, LubomirUniBi; Prohl, Andreas
Abstract / Bemerkung
The thesis is organized in two main parts. In the first part, the distributed optimal control problem of the non-smooth Cahn-Hilliard-Stokes system is considered, assuming that the homogeneous free energy density in the Cahn-Hilliard equations corresponds to the double-obstacle potential. The analysis is performed at continuous level and by a finite dimensional approach. Numerical experiments are displayed. In the second part, the distributed optimal control problem of the smooth Cahn-Hilliard-Navier-Stokes system is studied. In this case the homogeneous free energy density is equal to the double-well potential. This problem is analyzed considering infinite dimensional settings and a discrete approach. Significant numerical experiments are proposed.
Jahr
2018
Page URI
https://pub.uni-bielefeld.de/record/2932714

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Lunari A. Numerics and optimal control of phase-field models for multiphase flow. Bielefeld: Universität Bielefeld; 2018.
Lunari, A. (2018). Numerics and optimal control of phase-field models for multiphase flow. Bielefeld: Universität Bielefeld. doi:10.4119/unibi/2932714
Lunari, Andrea. 2018. Numerics and optimal control of phase-field models for multiphase flow. Bielefeld: Universität Bielefeld.
Lunari, A. (2018). Numerics and optimal control of phase-field models for multiphase flow. Bielefeld: Universität Bielefeld.
Lunari, A., 2018. Numerics and optimal control of phase-field models for multiphase flow, Bielefeld: Universität Bielefeld.
A. Lunari, Numerics and optimal control of phase-field models for multiphase flow, Bielefeld: Universität Bielefeld, 2018.
Lunari, A.: Numerics and optimal control of phase-field models for multiphase flow. Universität Bielefeld, Bielefeld (2018).
Lunari, Andrea. Numerics and optimal control of phase-field models for multiphase flow. Bielefeld: Universität Bielefeld, 2018.
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2019-09-06T09:19:04Z
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