Hypersonic Vehicle Analyses: The Needs and Challenges of Multidisciplinary Simulations - presented by Prof. Iain Boyd

Hypersonic Vehicle Analyses: The Needs and Challenges of Multidisciplinary Simulations

Prof. Iain Boyd

Prof. Iain Boyd
Slide at 33:41
CENTER FOR
NATIONAL SECURITY
Sensitivity Analysis
INITIATIVES
Approach
0.06
Hundreds of evaluations
Observer Lines of Sight End
0.05
(Vehicle Body and Participating
Each evaluation
Medium Radiation)
0.04
Samples chemistry parameters
Lines of Sight
from 100s of reactions
0.03
Simulates coupled flow, material
0.02
Lines of Sight Start (Vehicle Body Radiation)
response, then radiation along
0.01
the vehicle LOSs
Sensitivity metrics (Sobol'
-0.02
0.02
0.04
0.06
0.08
0.12
0.14
0.16
indices) estimated from surrogate
x [m]
models built from evaluations
IR-Total PM Radiance Sensitivity
Zeldovich Mechanism
Chemical Kinetics Sensitivities
CO-NO
CN-NO
CO2 CO
Nose: NO production via
Zeldovich exchange
N,+O=NO+N
Shoulder: CO-NO Exchange
Downstream: NO
CO+N=NO+C
NO+O=N+20
CN+O=NO+C
production/destruction, CN-NO exchange, CO2 recombination
-0.02
0.02
0.04
0.06
0.08
0.12
0.14
0.16
University of Colorado
Boulder
Be Boulder.
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Summary (AI generated)

A key aspect of Sensitivity Analysis is the soba index, which measures the level of influence of a particular process on determining a quantity of interest. In this case, the quantity of interest is the total infrared radiation generated at different locations along the vehicle surface. The SOOL index identifies the chemical reactions that most affect the infrared radiation among the 195 reactions being studied.

One important reaction identified by the SOOL index is the First Zeldovich reaction, where an N two molecule interacts with an oxygen atom to form an nano molecule and a nitrogen atom. This reaction is crucial because NO is one of the strongest radiating molecular species in this portion of the electromagnetic spectrum. The result indicates that this reaction is the most important across the vehicle surface under the given conditions.

This information can be used to prioritize certain reactions for further study, such as through shop troop studies or Computational Chemistry studies. By focusing on reactions identified as important by the soba index, researchers can decrease uncertainty and improve understanding of the processes influencing infrared radiation generation. Additional reactions of interest can also be identified by analyzing the data presented in the figures, allowing for a more targeted approach to research and analysis.