Evaluation of fluid-thermal systems by dynamic data driven application systems - Part II

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Abstract

A Dynamic Data Driven Application Systems (DDDAS) methodology 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 simulartion (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. © Springer-Verlag Berlin Heidelberg 2007.

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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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4487 LNCS, pp. 1189–1196). Springer Verlag. https://doi.org/10.1007/978-3-540-72584-8_155

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