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TPS Certification by Analysis: Model-Driven Characterization of Properties and Failure in Woven Thermal Protection SystemsWoven, ablative thermal protection system (TPS) materials provide a robust option for aggressive (re)entries and thus have been baselined for the upcoming Mars Sample Return (MSR) mission's Earth Entry System (EES). The reliability requirements for MSR-EES necessitate understanding of material property variability, which could be significant given the complex structure and anisotropic nature of properties in TPS weaves, as well as the response to potential impact with micrometeoroids or orbital debris during the EES re-entry. The TPS Certification by Analysis effort within the Entry Systems Modeling project seeks to provide computational models and analyses that support the certification against such material-based risks. For the present talk, focus will be given to the characterization of baseline woven TPS material properties and mechanical failure limits, which entails (1) use of computational techniques (e.g., machine learning) to interpret computed tomography images of the weave to generate representative structural models and (2) application of multiscale material modeling approaches to characterize thermomechanical and failure properties.
Document ID
20220016733
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Lauren J. Abbott
(Ames Research Center Mountain View, California, United States)
Justin B. Haskins
(Ames Research Center Mountain View, California, United States)
Sergio Fraile Izquierdo
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Sander J. Visser
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Andrew P. Santos
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Date Acquired
November 4, 2022
Subject Category
Chemistry And Materials (General)
Composite Materials
Meeting Information
Meeting: 12th Ablation Workshop
Location: Lexington, KY
Country: US
Start Date: November 9, 2022
End Date: November 10, 2022
Sponsors: Kentucky Space Grant Consortium, University of Kentucky, Analytical Mechanics Associates (United States), Sandia National Laboratories
Funding Number(s)
WBS: 335803.04.22.21.10.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
thermal protection systems
certification by analysis
woven composites
materials modeling
multiscale modeling
machine learning
image segmentation
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