• 제목/요약/키워드: Computing fluid analysis

검색결과 104건 처리시간 0.027초

자외선 소독기 성능 예측을 위한 CFD 해석 기법 연구 (A Study on CFD Methodology of the Performance Predictionfor the UV Disinfection Reactor)

  • 김현수;박정규;이경혁;조진수
    • 한국유체기계학회 논문집
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    • 제17권6호
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    • pp.44-51
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    • 2014
  • The disinfection method using UV has emerged as photodissociation in water disinfection. In order to predict performance for UV disinfection, CFD analysis was performed due to saving cost. Most CFD studies of UV reactor have used particle tracking method. However it demands additional analysis time, computing resource and phase besides working fluid. In this paper, pathogenic microorganisms' route is assumed to streamline of fluid to save computing time. the computational results are in good agreement with experimental results. The results of streamline method are compared with the particle tracking method. In conclusion, the effectiveness of streamline method for UV disinfection are confirmed.

전산유체역학 병렬해석을 위한 클러스터 네트웍 장치 성능분석 (Performance Analysis of Cluster Network Interfaces for Parallel Computing of Computational Fluid Dynamics)

  • 이보성;홍정우;이동호;이상산
    • 한국항공우주학회지
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    • 제31권5호
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    • pp.37-43
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    • 2003
  • 전산유체역학분야에서의 효율적인 해석을 위해서 병렬처리기법이 널리 사용되고 있다. 병렬처리기법과 함께 최근에는 저가의 리눅스 클러스터 컴퓨터들이 기존의 슈퍼컴퓨터들을 대체하는 추세이다. 리눅스 클러스터 컴퓨터에서 수행되는 해석프로그램의 성능은 클러스터 시스템의 프로세서 성능 뿐 아니라 클러스터 시스템에서 사용되는 네트웍 장비의 성능에 크게 영향을 받는다. 본 연구에서는 미리넷2000, 기가비트 이더넷, 패스트 이더넷 등 네트웍 장비에 따라서 클러스터 시스템의 성능이 어떻게 달라지는지를 Netpipe, LINPACK, NAS NPB, 그리고 MIPNS2D Navier-Stokes 해석프로그램을 사용하여 비교하였다. 이러한 연구결과를 바탕으로 전산유체역학 분야에서 사용될 고성능 저비용 리눅스 클러스터 시스템을 구축하는 방법을 제시하고자 하였다.

Design and analysis of RIF scheme to improve the CFD efficiency of rod-type PWR core

  • Chen, Guangliang;Qian, Hao;Li, Lei;Yu, Yang;Zhang, Zhijian;Tian, Zhaofei;Li, Xiaochang
    • Nuclear Engineering and Technology
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    • 제53권10호
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    • pp.3171-3181
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    • 2021
  • This research serves to advance the development of engineering computational fluid dynamics (CFD) computing efficiency for the analysis of pressurized water reactor (PWR) core using rod-type fuel assemblies with mixing vanes (one kind of typical PWR core). In this research, a CFD scheme based on the reconstruction of the initial fine flow field (RIF CFD scheme) is proposed and analyzed. The RIF scheme is based on the quantitative regulation of flow velocities in the rod-type PWR core and the principle that the CFD computing efficiency can be improved greatly by a perfect initialization. In this paper, it is discovered that the RIF scheme can significantly improve the computing efficiency of the CFD computation for the rod-type PWR core. Furthermore, the RIF scheme also can reduce the computing resources needed for effective data storage of the large fluid domain in a rod-type PWR core. Moreover, a flow-ranking RIF CFD scheme is also designed based on the ranking of the flow rate, which enhances the utilization of the flow field with a closed flow rate to reconstruct the fine flow field. The flow-ranking RIF CFD scheme also proved to be very effective in improving the CFD efficiency for the rod-type PWR core.

스테이터-로터 상호간섭 효과를 고려한 3차원 터빈 블레이드의 유체/구조 연계해석 (Fluid/Structure Coupled Analysis of 3D Turbine Blade Considering Stator-rotor Interaction)

  • 김유성;김동현;김요한;박웅
    • 한국소음진동공학회논문집
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    • 제19권8호
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    • pp.764-772
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    • 2009
  • In this study, fluid/structure coupled analyses have been conducted for 3-D stator and rotor configuration. Advanced computational analysis system based on computational fluid dynamics(CFD) and computational structural dynamics(CSD) has been developed in order to investigate fluid/structure responses of general stator-rotor configurations. To solve the fluid/structure coupled problems, fluid domains are modeled using the structural grid system with dynamic moving and local deforming techniques. Reynolds-averaged Navier-Stokes equations with Spalart-Allmaras(S-A) and SST ${\kappa}-{\omega}$ turbulence models are solved for unsteady flow problems. A fully implicit time marching scheme based on the Newmark direct integration method is used for computing the coupled aeroelastic governing equations of the 3-D turbine blades for fluid-structure interaction(FSI) problems. Detailed fluid/structure analysis responses for stator-rotor interaction flow conditions are presented to show the physical performance and flow characteristics.

스테이터-로터 상호간섭 효과를 고려한 3차원 터빈 블레이드의 유체/구조 연계해석 (Fluid/structure Coupled Analysis of 3D Turbine Blade Considering Stator-Rotor Interaction)

  • 김유성;김동현;김요한;박웅
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2008년도 추계학술대회논문집
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    • pp.563-569
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    • 2008
  • In this study, fluid/structure coupled analyses have been conducted f3r 3-D stator and rotor configuration. Advanced computational analysis system based on computational fluid dynamics (CFD) and computational structural dynamics (CSD) has been developed in order to investigate fluid/structure responses of general stator-rotor configurations. To solve the fluid/structure coupled problems, fluid domains are modeled using the structural grid system with dynamic moving and local deforming techniques. Reynolds-averaged Navier-Stokes equations with Spalart-Allmaras (S-A) and SST ${\kappa}-{\omega}$ turbulence models are solved for unsteady flow problems. A fully implicit time marching scheme based on the Newmark direct integration method is used for computing the coupled aeroelastic governing equations of the 3-D turbine blades for fluid-structure interaction (FSI) problems. Detailed fluid/structure analysis responses for stator-rotor interaction flow conditions are presented to show the physical performance and flow characteristics.

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e-사이언스 환경에서 공학 교육을 위한 통합 수치 해석 프레임워크 (An Integrated Numerical Analysis Framework for Engineering Education in e-Science Environment)

  • 박숙영;강혜정;김윤희
    • 컴퓨터교육학회논문지
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    • 제15권2호
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    • pp.67-73
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    • 2012
  • 유동 수치 해석 분야의 실험들은 복잡한 수학 방정식의 계산 과정으로 이루어져 있고, 이러한 실험을 수행할 수 있는 거대한 계산 자원과 그 자원을 효율적으로 관리할 수 있는 환경을 요구한다. 현재 수치해석을 위한 특정 목적의 실험을 수행할 수 있는 e-사이언스 환경에 대한 연구는 많이 진행되고 있으나 다양한 공학 교육 분야의 유동 해석을 위한 통합 수치해석 연구 프레임워크를 개발한 사례는 거의 없는 실정이다. 따라서 본 논문에서는 그리드 자원을 효율적으로 이용할 수 있는 UNICORE를 기반으로 다양한 유동 해석을 위한 기본 프레임워크를 설계하고, 이에 대한 프로토타입으로 세 가지 유동 응용들에 대한 수치해석 연구를 통합 환경에서 수행할 수 있는 e-사이언스 프레임워크를 개발하였다.

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유체$\cdot$구조물 상호 작용 기법을 이용한 오일 펜스의 변형 예측 (Prediction of Deformation of an Oil-fence by using Fluid$\cdot$Structure Interaction Method)

  • 김태균;김욱;허남건
    • 한국전산유체공학회지
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    • 제5권3호
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    • pp.16-22
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    • 2000
  • In the present study a method of computing fluid-structure interaction is presented to simulate the deformation shape of an oil fence which is used to contain or to divert the split oil in sea water. The computation is performed by taking into account of the force and moment balance in each computational element of the oil fence. The forces and moments acting on each element of the structure is computed from the flow analysis, which in turn is used to predict deformed shape of the structure until the procedure converges. The flexibility of the oil fence was also considered in the analysis. It is shown from the present study that the predicted deformed shapes agree quite well with the available experiment data.

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고층건물의 풍하중 유발 진동해석 (Wind Load Induced Vibration Analysis for Tall Structure)

  • 김동현;김유성;김요한;김동만;이종욱
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2009년도 춘계학술대회 논문집
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    • pp.658-659
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    • 2009
  • In this study, fluid-induced vibration (FIV) analyses have been conducted for tall building structure. In order to investigate the aeroelastic responses of tall building due to wind load, advanced computational analysis system based n computational fluid dynamics(CFD) and computational structural dynamics (CSD) has been developed. Fluid domains are modeled using the computational grid system with local grid deforming technique. A fully implicit time marching scheme based on the Newmark direct integration method is used for computing the coupled aeroelastic governing equations of tall structure for fluid-structure interaction (FSI) problems. Detailed aeroelastic responses and results are presented to show the physical phenomenon of the tall building.

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그리드 환경하에서 고성능 컴퓨팅을 이용한 열유동 해석 기법에 관한 기초연구 (A Fundamental Study of Thermal-Fluid Flow Analysis using High Performance Computing under the GRID)

  • 홍승도;이대성;이재룡;하만영;이상산
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 추계학술대회
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    • pp.928-933
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    • 2003
  • For simulation of three-dimensional turbulent flow with LES and DNS takes much time and expense with current available computing resources. It is nearly impossible to simulate turbulent flow with high Reynolds number. So, the emerging alternative is the Grid computing for needed computation power and working environment. In this study, the CFD code was parallelized to adapt it for the parallel computing under the Grid environment. In the first place, the Grid environment was built to connect the PC-Cluster facilities belong to the different institutions using communication network system. And CFD applications were calculated to check the performance of the parallel code developed for the Grid environment. Although it is a fundamental study, it brings about a important meaning as first step in research of the Grid.

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그리드 컴퓨팅을 이용한 열유동 해석 기법에 관한 기초 연구 (A Basic Study of Thermal-Fluid Flow Analysis Using Grid Computing)

  • 홍승도;하만영;조금원
    • 대한기계학회논문집B
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    • 제28권5호
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    • pp.604-611
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    • 2004
  • Simulation of three-dimensional turbulent flow with LES and DNS lakes much time and expense with currently available computing resources and requires big computing resources especially for high Reynolds number. The emerging alternative to provide the required computing power and working environment is the Grid computing technology. We developed the CFD code which carries out the parallel computing under the Grid environment. We constructed the Grid environment by connecting different PC-cluster systems located at two different institutes of Pusan National University in Busan and KISTI in Daejeon. The specification of PC-cluster located at two different institutes is not uniform. We run our parallelized computer code under the Grid environment and compared its performance with that obtained using the homogeneous computing environment. When we run our code under the Grid environment, the communication time between different computer nodes takes much larger time than the real computation time. Thus the Grid computing requires the highly fast network speed.