Abstract
Computer simulations are an essential part in computational science and engineering disciplines and they provide a valuable tool toward designing new and accurate models describing underlying physical phenomena observed in actual experiments. The adjustment of model parameters, also known as parameter identification, requires the use of numerical optimization algorithms if it is to provide credible and useful results. We report on the use of a modular framework, named EFCOSS (Environment For Combining Optimization and Simulation Software), to solve a particular parameter identification problem arising from the modeling of falling films. The underlying computer model is formulated using the multi-purpose computational fluid dynamics package FLUENT. The derivatives required in the parameter identification are obtained by applying the automatic differentiation tool ADIFOR to FLUENT. By using EFCOSS we point out, in a systematic way, areas of validity and needed improvements of a proposed model of a wavy falling film.
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References
Adomeit, P., Leefken, A., Renz, U.: Experimental and numerical investigations on wavy films. In Hahne, E.W.P., Heidemann, W., Spindler, K., eds.: Proceedings of the 3rd European Thermal Science Conference, Heidelberg, Germany, September 10–13, 2000. Volume 2., Edizioni ETS, Pisa (2000) 1003–1009
Leefken, A., Renz, U.: Numerical analysis on hydrodynamics and heat transfer in laminar-wavy films. In: Proceedings of the XIII School-Seminar of Young Scientists and Specialists, St. Petersburg, Russia, May 20-25, 2001. Volume 1., MPEI Publishers, Moscow (2001) 193–196
Bischof, C.H., Bücker, H.M., Lang, B., Rasch, A., Risch, J.W.: A CORBA-Based Environment for Coupling Large-Scale Simulation and Optimization Software. In Arabnia, H.R., ed.: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2001, Las Vegas, USA, June 25-28, 2001. Volume 1., CSREA Press (2001) 8–72
Bischof, C.H., Bücker, H.M., Lang, B., Rasch, A.: An interactive environment for supporting the transition from simulation to optimization. Scientific Programming (2003) To appear.
Fluent Inc. Lebanon, NH: FLUENT Tutorial Guide. (1995)
Gay, D.M.: Usage summary for selected optimization routines. Computing Science Technical Report 153, AT&T Bell Laboratories, Murray Hill (1990)
Bischof, C.H., Bücker, H.M., Lang, B., Rasch, A.: Recent Progress in Automatic Differentiation: Advanced Tools and Large-Scale Applications. Preprint of the Institute for Scientific Computing RWTH-CS-SC-01-18, Aachen University of Technology (2001) Submitted for publication.
Griewank, A.: Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation. SIAM, Philadelphia (2000)
Rall, L.B.: Automatic Differentiation: Techniques and Applications. Volume 120 of Lecture Notes in Computer Science. Springer-Verlag, Berlin (1981)
Griewank, A., Corliss, G.: Automatic Differentiation of Algorithms. SIAM, Philadelphia (1991)
Berz, M., Bischof, C., Corliss, G., Griewank, A.: Computational Differentiation: Techniques, Applications, and Tools. SIAM, Philadelphia (1996)
Corliss, G., Faure, C., Griewank, A., Hascoët, L., Naumann, U., eds.: Automatic Differentiation of Algorithms: From Simulation to Optimization. Springer, New York (2002)
Bischof, C., Carle, A., Khademi, P., Mauer, A.: ADIFOR 2.0: Automatic differentiation of Fortran 77 programs. IEEE Computational Science & Engineering 3 (1996) 18–32
Bischof, C.H., Bücker, H.M., Lang, B., Rasch, A., Slusanschi, E.: Automatic Differentiation of Large-Scale Simulation Codes is no Illusion. Preprint of the Institute for Scientific Computing RWTH-CS-SC-02-12, Aachen University, Aachen (2002) Submitted for publication.
Launder, B., Spalding, D.B.: The numerical computation of turbulent flows. Computer Methods in Applied Mechanics and Engineering 3 (1974) 269–289
Dennis, J.E., Gay, D.M., Welsch, R.E.: An adaptive nonlinear least squares algorithm. ACM Transactions on Mathematical Software 7 (1981) 348–368
Gay, D.M.: A trust region approach to linearly constrained optimization. In Griffith, D.F., ed.: Numerical Analysis, Proceedings, Dundee, 1983. Lecture Notes in Mathematics, Berlin, Springer (1984)
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Bischof, C.H., Martin Bücker, H., Rasch, A., Slusanschi, E. (2003). Evaluation of a Computer Model for Wavy Falling Films Using EFCOSS. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2668. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44843-8_9
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DOI: https://doi.org/10.1007/3-540-44843-8_9
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