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Title: Rapid high-fidelity aerothermal responses with quantified uncertainties via reduced-order modeling

Abstract

This project will enable high-fidelity aerothermal simulations of hypersonic vehicles to be employed (1) to generate large databases with quantified uncertainties and (2) for rapid interactive simulation. The databases will increase the volume/quality of A4H data; rapid interactive simulation can enable arbitrary conditions/designs to be simulated on demand. We will achieve this by applying reduced-order-modeling techniques to aerothermal simulations.

Authors:
 [1];  [1];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1464878
Report Number(s):
SAND-2018-8613R
666934
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Carlberg, Kevin, Howard, Micah, and Freno, Brian. Rapid high-fidelity aerothermal responses with quantified uncertainties via reduced-order modeling. United States: N. p., 2018. Web. doi:10.2172/1464878.
Carlberg, Kevin, Howard, Micah, & Freno, Brian. Rapid high-fidelity aerothermal responses with quantified uncertainties via reduced-order modeling. United States. doi:10.2172/1464878.
Carlberg, Kevin, Howard, Micah, and Freno, Brian. Wed . "Rapid high-fidelity aerothermal responses with quantified uncertainties via reduced-order modeling". United States. doi:10.2172/1464878. https://www.osti.gov/servlets/purl/1464878.
@article{osti_1464878,
title = {Rapid high-fidelity aerothermal responses with quantified uncertainties via reduced-order modeling},
author = {Carlberg, Kevin and Howard, Micah and Freno, Brian},
abstractNote = {This project will enable high-fidelity aerothermal simulations of hypersonic vehicles to be employed (1) to generate large databases with quantified uncertainties and (2) for rapid interactive simulation. The databases will increase the volume/quality of A4H data; rapid interactive simulation can enable arbitrary conditions/designs to be simulated on demand. We will achieve this by applying reduced-order-modeling techniques to aerothermal simulations.},
doi = {10.2172/1464878},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {8}
}