Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFiRE Direct Connect Rig
Name
e8518719c1b934bae2d9017d836a6a57c302.pdf
Description
Accepted version
Size
1.86 MB
Format
Adobe PDF
Checksum (MD5)
d369b2e7e53f604c86b7788aa40fdcd1
Author(s)
Marzouk, Youssef M
Date Issued
January 2019
Journal
2019 AIAA Science and Technology Forum and Exposition (SciTech)
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Citation
Geraci, Gianluca et al. “Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFiRE Direct Connect Rig.” Paper presented at the 2019 AIAA Science and Technology Forum and Exposition (SciTech) Conference, San Diego, CA, Jan. 7-11 2019, AIAA © 2019 The Author(s)
Version
Author's final manuscript
Abstract
We present an overview of optimization under uncertainty efforts under the DARPA Enabling Quantification of Uncertainty in Physical Systems (EQUiPS) ScramjetUQ project. We introduce the mathematical frameworks and computational tools employed for performing this task. In particular, we provide details in the optimization and multilevel uncertainty quantification algorithms, which are available through the SNOWPAC and DAKOTA software packages. The overall workflow is first demonstrated on a simplified model design problem with non-reacting inviscid supersonic flows. Preliminary results and updates are then reported for a in-progress scramjet design optimization case using large-eddy simulations of supersonic reactive flows inside the HIFiRE Direct Connect Rig.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.2514/6.2019-0725
