Semi-Empirical 1D Material Response Modeling Using Inverse Methods

L. P. Askins, A. Martin, B. Libben, G. Palmer, J. Williams

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


Experiments were conducted using both the Interaction Heating Facility (IHF) and Aerodynamic Heating Facility (AHF), two hypersonic arc-jet facilities at NASA Ames Research Center. These tests were performed to understand the material response of ablative thermal protection system materials by exposing them to high-enthalpy flows. Using in-depth thermocouple measurements from a graphite test article, test conditions were determined using NASA’s one-dimensional inverse heat conduction model FIAT-Opt. A least squares fit function was found to recreate these boundary conditions as a reproducible case. Comparisons were also made with results from the one-dimensional model FIAT using CFD-derived facility target conditions. The two cases were additionally compared and validated using thermocouple measurements from another material, as well as calorimetry measurements during the same test. Additional validation against data other test series confirmed the applicability of this approach to modeling cases in other facilities.

Original languageEnglish
Title of host publicationAIAA AVIATION 2022 Forum
StatePublished - 2022
EventAIAA AVIATION 2022 Forum - Chicago, United States
Duration: Jun 27 2022Jul 1 2022

Publication series

NameAIAA AVIATION 2022 Forum


ConferenceAIAA AVIATION 2022 Forum
Country/TerritoryUnited States

Bibliographical note

Funding Information:
This project was funded by the Mars Sample Return Earth Entry System mission through AMA, under NASA EPSCOR award 80NSSC21M0163. The authors would like to thank those at AMA and NASA Ames, including Todd White, Hannah Alpert, Milad Mahzari, and Magnus Haw.

Publisher Copyright:
© 2022, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Aerospace Engineering


Dive into the research topics of 'Semi-Empirical 1D Material Response Modeling Using Inverse Methods'. Together they form a unique fingerprint.

Cite this