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Discrete and Continuous Adjoint Approaches to Estimate Boundary Heat Fluxes in Falling Films

Bücker, H. M. and Willkomm, J. and Groß, S. and Fortmeier, O. (2011):
Discrete and Continuous Adjoint Approaches to Estimate Boundary Heat Fluxes in Falling Films.
In: Optimization Methods & Software, Taylor & Francis, pp. 105-125, 26, (1), ISSN 1055-6788 ,
[Article]

Abstract

A wavy falling film simulation is considered in which a liquid travels along one side of a thin metal foil that is heated electrically from the opposite side. The direct problem consists of a three-dimensional heat conduction equation on a cuboid domain representing the foil with suitable initial and boundary conditions. The inverse problem consists of determining the heat flux on the film side of the foil from a given distribution of the temperature on the heating side. Two different adjoint approaches for the solution of this inverse problem are compared. In the continuous adjoint approach, the adjoint problem is analytically derived from the direct problem and then discretized. In the discrete adjoint approach, the direct problem is discretized from which an adjoint code is generated by means of the reverse mode of automatic differentiation. Numerical experiments are reported demonstrating the advantages and disadvantages of the two approaches.

Item Type: Article
Erschienen: 2011
Creators: Bücker, H. M. and Willkomm, J. and Groß, S. and Fortmeier, O.
Title: Discrete and Continuous Adjoint Approaches to Estimate Boundary Heat Fluxes in Falling Films
Language: English
Abstract:

A wavy falling film simulation is considered in which a liquid travels along one side of a thin metal foil that is heated electrically from the opposite side. The direct problem consists of a three-dimensional heat conduction equation on a cuboid domain representing the foil with suitable initial and boundary conditions. The inverse problem consists of determining the heat flux on the film side of the foil from a given distribution of the temperature on the heating side. Two different adjoint approaches for the solution of this inverse problem are compared. In the continuous adjoint approach, the adjoint problem is analytically derived from the direct problem and then discretized. In the discrete adjoint approach, the direct problem is discretized from which an adjoint code is generated by means of the reverse mode of automatic differentiation. Numerical experiments are reported demonstrating the advantages and disadvantages of the two approaches.

Journal or Publication Title: Optimization Methods & Software
Volume: 26
Number: 1
Publisher: Taylor & Francis
Uncontrolled Keywords: inverse problem; adjoint equation; automatic differentiation; DROPS; ADOL-C; PDE-constrained optimization
Divisions: 20 Department of Computer Science > Scientific Computing
20 Department of Computer Science
Date Deposited: 17 May 2013 07:11
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