4.7 Article

Compressible-flow geometric-porosity modeling and spacecraft parachute computation with isogeometric discretization

Journal

COMPUTATIONAL MECHANICS
Volume 63, Issue 2, Pages 301-321

Publisher

SPRINGER
DOI: 10.1007/s00466-018-1595-4

Keywords

Spacecraft parachute; Geometric-porosity modeling; Compressible-flow space-time SUPG method; Compressible-flow space-time slip interface method; Isogeometric discretization; 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) [26220002]
  4. Council for Science, Technology and Innovation (CSTI), Cross-Ministerial Strategic Innovation Promotion Program (SIP), Innovative Combustion Technology (JST)
  5. Rice-Waseda research agreement
  6. ARO [W911NF-17-1-0046]
  7. Top Global University Project of Waseda University
  8. [16J10373]
  9. Grants-in-Aid for Scientific Research [16K13779, 24760144] Funding Source: KAKEN

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One of the challenges in computational fluid-structure interaction (FSI) analysis of spacecraft parachutes is the geometric porosity, a design feature created by the hundreds of gaps and slits that the flow goes through. Because FSI analysis with resolved geometric porosity would be exceedingly time-consuming, accurate geometric-porosity modeling becomes essential. The geometric-porosity model introduced earlier in conjunction with the space-time FSI method enabled successful computational analysis and design studies of the Orion spacecraft parachutes in the incompressible-flow regime. Recently, porosity models and ST computational methods were introduced, in the context of finite element discretization, for compressible-flow aerodynamics of parachutes with geometric porosity. The key new component of the ST computational framework was the compressible-flow ST slip interface method, introduced in conjunction with the compressible-flow ST SUPG method. Here, we integrate these porosity models and ST computational methods with isogeometric discretization. We use quadratic NURBS basis functions in the computations reported. This gives us a parachute shape that is smoother than what we get from a typical finite element discretization. In the flow analysis, the combination of the ST framework, NURBS basis functions, and the SUPG stabilization assures superior computational accuracy. The computations we present for a drogue parachute show the effectiveness of the porosity models, ST computational methods, and the integration with isogeometric discretization.

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