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Modeling and simulation pages

S. Junco. Real- and complex-power bond graph modeling of the induction motor. In Proceeding of the International Conference on Bond Graph Modeling and Simulation, pages 323-328, San Francisco, CA, 1999. [Pg.320]

Carson, J. S. II. Introduction to modeling and simulation. In Proceedings of the 36th conference on Winter simulation, pages 9-16, 2004. [Pg.210]

W. Borutzky. Parameter Sensitivities of Transfer Functions and of Residuals. In F.E. CeUier and J.J. Granda, editors, 9th International Conference on Bond Graph Modeling and Simulation (ICBGM 2010), volume 42(2) of Simulation Series, pages 4-10, Orlando, FL, April 2010. SCS. ISBN 978-1-61738-209-3. [Pg.175]

K. Akselvoll and P. Moin. Large eddy simulation of a backward facing step flow. In W. Rodi and F. Martelli, editors, Proc. of the 2nd International Symposium on Eng. Turb. Modelling and Exp., volume 2, pages 303-313. Elsevier, 1993. [Pg.318]

Secondary as well as tertiary recovery (without or with prior water flooding) processes were simulated in both lab model and computer simulation experiments. In every case, injection of the carbon dioxide slug was followed by a final waterflood until an assumed economically limiting oil cut of 2 % was reached. The extra oil for secondary 002 floods was determined 1 subtracting from the over-all oil yield the recovery which could have been obtained by a prior water flood. The secondary and tertiary extra oil yields are therefore comparable. A comparison of the extra oil recovery by computer simulation with that obtained in the laboratory model is idiown in Table II, on the next page. [Pg.365]

Robinson, S. Conceptual modeling for simulation issues and research requirements. In Proceedings of the 38th conference on Winter simulation, pages 792-800, 2006. [Pg.222]

Sargent, R. G. Verification, validation, and accreditation verification, validation, and accreditation of simulation models. In Proceedings of the 32nd conference on Winter simulation, pages 50-59, 2000. [Pg.223]

D.G. Rideout and K.T. Haq Active modelling A method for creating and simulating variable-complexity models. Journal of Dynamic Systems, Measurement and Control, 132(6), 061201 (12 pages). Published by the American Society of Mechanical Engineers, ISSN Print 0022-0434, ISSN Online 1528-9028, New York, NY (2010)... [Pg.103]

C.S. Kam and G. Dauphin-Tanguy. Sensitivity function determination on a bond graph model. In Simulation in Industry, 13th European Simulation Symposium 2001, ESS Ol, pages 735-739. SCS, Marseille, France, 18-20 October 2001. [Pg.174]

G. Ramachandran and T. Schlick. Beyond optimization Simulating the dynamics of supercoiled DNA by a macroscopic model. In P. M. Pardalos, D. Shal-loway, and G. Xue, editors. Global Minimization of Nonconvex Energy Functions Molecular Conformation and Protein Folding, volume 23 of DIM ACS Series in Discrete Mathematics and Theoretical Computer Science, pages 215-231, Providence, Rhode Island, 1996. American Mathematical Society. [Pg.259]

Often you need to add solvent molecules to a solute before running a molecular dynamics simulation (see also Solvation and Periodic Boundary Conditions on page 62). In HyperChem, choose Periodic Box on the Setup menu to enclose a solute in a periodic box filled appropriately with TIP3P models of water molecules. [Pg.84]

K. Holing, J. Alvestad, and J. A. Trangenstein. The use of second-order godunov-type methods for simulating EOR processes in realistic reservoir models. In Proceedings Volume, pages 101-111. 2nd Inst Franc Du Petrol Math of Oil Recovery Europe Conf (Arles, France, 9/11-9/14), 1990. [Pg.405]


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See also in sourсe #XX -- [ Pg.118 , Pg.123 , Pg.317 , Pg.815 , Pg.903 , Pg.904 , Pg.905 , Pg.913 , Pg.917 , Pg.920 , Pg.921 , Pg.947 , Pg.1172 ]




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