4.6 Article

Porosity models and computational methods for compressible-flow aerodynamics of parachutes with geometric porosity

Journal

MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES
Volume 27, Issue 4, Pages 771-806

Publisher

WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0218202517500166

Keywords

Spacecraft parachute; geometric porosity; porosity modeling; compressibleflow space-time SUPG method; compressible-flow space-time Slip Interface method; drogue parachute

Funding

  1. Japan Society for the Promotion of Science (JSPS) [24760144]
  2. JSPS [16K13779]
  3. Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT)
  4. [26220002]
  5. Council for Science, Technology and Innovation (CSTI), Cross-Ministerial Strategic Innovation Promotion Program (SIP), Innovative Combustion Technology
  6. Rice-Waseda
  7. ARO Grant [W911NF-17-1-0046]
  8. Grants-in-Aid for Scientific Research [24760144, 16J10373, 16K13779, 26220002] Funding Source: KAKEN

Ask authors/readers for more resources

Spacecraft-parachute designs quite often include geometric porosity created by the hundreds of gaps and slits that the flow goes through. Computational fluid-structure interaction (FSI) analysis of these parachutes with resolved geometric porosity would be exceedingly challenging, and therefore accurate modeling of the geometric porosity is essential for reliable FSI analysis. The space-time FSI (STFSI) method with the homogenized modeling of geometric porosity has proven to be reliable in computational analysis and design studies of Orion spacecraft parachutes in the incompressible-flow regime. Here we introduce porosity models and ST computational methods for compressible-flow aerodynamics of parachutes with geometric porosity. The main components of the ST computational framework we use are the compressible-flow ST SUPG method, which was introduced earlier, and the compressible-flow ST Slip Interface method, which we introduce here. The computations we present for a drogue parachute show the effectiveness of the porosity models and ST computational methods.

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