지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2002.5
- 수록면
- 1,562 - 1,567 (6page)
이용수
초록· 키워드
오류제보하기
For large scale computation of turbulent flows around an arbitrarily shaped body, a parallelized LES (large
eddy simulation) code has been developed in which domain decomposition method is adopted. 4-step splitting
finite element algorithm is adopted for unsteady computation of the incompressible Navier-Stokes equation
along with Smagorinsky or dynamic LES model which is chosen for the modeling of small eddies in turbulent
flows. For the validation and performance-estimation of the parallel code, a three-dimensional laminar flow
generated by natural convection inside a cube has been solved. Regarding the speed-up of the code, the
present parallel code with parallel block-Jacobi preconditioner is about 50 times faster than the corresponding
serial code with 64 processors when approximately one million grid points are used. For the validation of LES
models, turbulent channel flows are simulated at Re = 180. Lastly, we consider the turbulent flow around a
MIRA (Motor Industry Research Association) model at Re = 2.6×10^6. Both Smagorinsky and dynamic models
are tested, comparing estimated drag coefficients and pressure distribution along the model surface with the
existing experimental data. The calculated drag coefficient agrees better with the experimental result than
those using two equation turbulence models.
eddy simulation) code has been developed in which domain decomposition method is adopted. 4-step splitting
finite element algorithm is adopted for unsteady computation of the incompressible Navier-Stokes equation
along with Smagorinsky or dynamic LES model which is chosen for the modeling of small eddies in turbulent
flows. For the validation and performance-estimation of the parallel code, a three-dimensional laminar flow
generated by natural convection inside a cube has been solved. Regarding the speed-up of the code, the
present parallel code with parallel block-Jacobi preconditioner is about 50 times faster than the corresponding
serial code with 64 processors when approximately one million grid points are used. For the validation of LES
models, turbulent channel flows are simulated at Re = 180. Lastly, we consider the turbulent flow around a
MIRA (Motor Industry Research Association) model at Re = 2.6×10^6. Both Smagorinsky and dynamic models
are tested, comparing estimated drag coefficients and pressure distribution along the model surface with the
existing experimental data. The calculated drag coefficient agrees better with the experimental result than
those using two equation turbulence models.
목차
Abstract
1. 서론
2. 수치 해석 방법
3. 수치 해석 결과
4. 결론
후기
참고문헌
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UCI(KEPA) : I410-ECN-0101-2009-550-014201107