Award Abstract #0539152
DDDAS-SEP: Application of DDDAS to Assessment of Thermal Systems Using Combined Experiment and Simulation

NSF Org:	CNS Division of Computer and Network Systems
Initial Amendment Date:	September 14, 2005
Latest Amendment Date:	September 14, 2005
Award Number:	0539152
Award Instrument:	Standard Grant
Program Manager:	Frederica Darema CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	October 1, 2005
Expires:	September 30, 2006 (Estimated)
Awarded Amount to Date:	$49688
Investigator(s):	Doyle Knight knight@soemail.rutgers.edu (Principal Investigator) Yogesh Jaluria (Co-Principal Investigator) Tobias Rossmann (Co-Principal Investigator)
Sponsor:	Rutgers University New Brunswick 3 RUTGERS PLAZA NEW BRUNSWICK, NJ 08901 732/932-0150
NSF Program(s):	ITR-DYNAMIC DATA DRIV APP SYS
Field Application(s):	0000912 Computer Science
Program Reference Code(s):	HPCC, 9218
Program Element Code(s):	7581

ABSTRACT

The project will apply the Dynamic Data Driven Applications Systems (DDDAS) methodology for assessment of fluid-thermal systems using combined experiment and simulation. Engineering applications involving fluid-thermal systems are characterized by complex three-dimensional flows with incomplete knowledge of boundary conditions in critical subsystems and limited access for experimental diagnostics. An example is the combustor in a turbofan engine wherein the thermal boundary conditions on the combustor can surface are not known a priori (i.e., the surface temperature distribution is not known) and access for optical diagnostics is severely limited. The DDDAS-based methodology synergizes experiment and simulation to achieve an assessment of the fluid-thermal system; in particular, to determine the surface temperature distribution to a reasonable level of accuracy. The specific application is a turbulent jet injected normally into a subsonic or supersonic equilibrium turbulent boundary layer. By analogy to a combustor or furnace, the experimental diagnostics are assumed to be limited to optical measurements (specifically, diode laser absorbance at various wavelengths) within a restricted region (to simulate limited access in the actual configuration, e.g., combustor). Simulations will be performed using the three-dimensional Reynolds-averaged Navier-Stokes equations with the k-e model of turbulence. Both non-reacting and reacting flows will be considered.

The proposed DDDAS-based methodology for assessment of fluid-thermal systems using experiment and simulation has potentially broader applications in engineering systems (e.g., chemical and biochemical engineering, civil engineering, etc).

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