Abstract
A Dynamic Data Driven Application Systems (DDDAS) me-thodology is developed for evaluation of fluid-thermal systems wherein a complete specification of the boundary conditions is not known a priori and experimental diagnostics are restricted to a limited region of the flowfield. The Closed Loop formulation of DDDAS is used whereby experiment and simulation are synergized in an iterative manner to determine the unknown boundary conditions, thereby enabling a full simulation (and hence, evaluation) of the fluid-thermal system. In this DDDAS methodology, the experiment directs the simulation and vice-versa. The DDDAS methodology is applied to a heated jet injected into a laminar boundary layer where the jet temperature and velocity are not known a priori for the simulations. The DDDAS methodology accurately determines the unknown jet temperature and velocity.
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References
Choudhury, S.R., Jaluria, Y.: Practical Aspects in the Drawing of an Optical Fiber. Journal of Materials Research 13, 483–493 (1998)
Dynamic Data Driven Applications Systems (DDDAS) Website. National Science Foundation, http://www.nsf.gov/cise/cns/darema/dddas/index.jsp
Darema, F.: Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3038, pp. 662–669. Springer, Heidelberg (2004)
Dynamic Data Driven Applications Systems (DDDAS) Homepage, http://www.dddas.org/
Mandel, J.J., Chen, M., Franca, L.P., Johns, C.J., Puhalskii, A., Coen, J.L., Douglas, C.C., Kremens, R., Vodacek, A., Zhao, W.: A Note on Dynamic Data Driven Wildfire Modeling. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3038, pp. 725–731. Springer, Heidelberg (2004)
Douglas, C.C., Beezley, J.D., Coen, J.L., Li, D., Li, W., Mandel, A.K., Mandel, J., Qin, G., Vodacek, A.: Demonstrating the Validity of a Wildfire DDDAS. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2006. LNCS, vol. 3993, pp. 522–529. Springer, Heidelberg (2006)
Knight, D., Elliott, G., Jaluria, Y., Langrana, N., Rasheed, K.: Automated Optimal Design Using Concurrent Integrated Experiment and Simulation. AIAA Paper No. 2002-5636 (2002)
Zhao, H., Icoz, T., Jaluria, Y., Knight, D.: Application of Data Driven Design Optimization Methodology to a Multi-Objective Design Optimization Problem. Journal of Engineering Design, To appear (2007)
Knight, D., Ma, Q., Rossman, T., Jaluria, Y.: Assessment of Fluid-Thermal Systems by Dynamic Data Driven Application Systems. In: International Conference on Modeling and Optimization of Structures, Processes and Systems, University of Kwazulu-Natal, Durban, South Africa, January (2007)
Ma, Q., Luo, Y., Rossman, T., Knight, D., Jaluria, Y.: Diode Laser Measurements for DDDAS: Flowfield Reconstruction Using Dynamic Experimental and Numerical Data. AIAA Paper No. 2006-2974 (2006)
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Knight, D., Ma, Q., Rossman, T., Jaluria, Y. (2007). Evaluation of Fluid-Thermal Systems by Dynamic Data Driven Application Systems - Part II. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4487. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72584-8_155
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DOI: https://doi.org/10.1007/978-3-540-72584-8_155
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