Abstract
Fibrous materials are extensively employed as thermal protection system in aerospace engineering. In this paper, the effective thermal and mechanical properties of a carbon fibrous material are predicted based on representative volume element of the micro-structure using a nonlocal lattice particle method. The RVE is obtained by scanning the fibrous sample and outputting the structure information as voxel-based binary files. Specifically, we calculate the effective thermal conductivity tensor by solving a heat conduction problem with prescribed temperature boundary condition. We obtain the effective mechanical properties by running several designed tests with applied strain state.
Original language | English |
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Title of host publication | AIAA SciTech Forum and Exposition, 2024 |
DOIs | |
State | Published - 2024 |
Event | AIAA SciTech Forum and Exposition, 2024 - Orlando, United States Duration: Jan 8 2024 → Jan 12 2024 |
Publication series
Name | AIAA SciTech Forum and Exposition, 2024 |
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Conference
Conference | AIAA SciTech Forum and Exposition, 2024 |
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Country/Territory | United States |
City | Orlando |
Period | 1/8/24 → 1/12/24 |
Bibliographical note
Publisher Copyright:© 2024 by Donglai Liu and Hailong Chen.
Funding
was provided through the NASA ACCESS STRI award No: 80NSSC21K1117. The RVE are provided by Dr. Poovathingal in the department. The authors would also like to thank the University of Kentucky Center for Computational Sciences and Information Technology Services Research Computing for their support and use of the Lipscomb Compute Cluster and associated research computing resources.
Funders | Funder number |
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Kentucky Transportation Center, University of Kentucky | |
National Aeronautics and Space Administration | 80NSSC21K1117 |
National Aeronautics and Space Administration |
ASJC Scopus subject areas
- Aerospace Engineering