• 한국해양공학회지
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• 제31권5호
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• pp.340-345
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• 2017

It is important to predict the hydrodynamic maneuvering derivatives, which consist of the forces and moment acting on a hull during a maneuvering motion, when estimating the maneuverability of a ship. The estimation of the maneuverability of a ship with a change in the stern hull form is often performed at the initial design stage. In this situation, a method that can reflect the change in the hull form is necessary in the prediction of the maneuverability of the ship. In particular, the linear hydrodynamics maneuvering derivatives affect the yaw checking motion as the key factors. In the present study, static drift calculations were performed using Computational Fluid Dynamics (CFD) based on Reynolds Average Navier-Stokes (RANS) for a 40-segment hull. A prediction method for the linear hydrodynamic maneuvering derivatives was proposed using the slender body theory from the distribution of the lateral force acting on each segment of the hull. Moreover, the results of a comparison study to the model experiment for KVLCC1 performed by KRISO are presented in order to verify the accuracy of the static drift calculation. Finally, the linear hydrodynamic maneuvering derivatives obtained from both the model test and calculation are compared and presented to verity the usefulness of the method proposed in this study.

• 한국해양공학회지
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• 제26권1호
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• pp.9-16
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• 2012

This paper presents the numerical results of a simulation of the free surface flow around a blunt bow ship model and focuses on the validation of the proposed method with a brief investigation of the relation between the resistance and free surface behavior. A finite volume method based on the Reynolds Averaged Navier-Stokes (RANS) approach is used to solve the governing flow equations, where the free surface, including wave breaking,is captured by using a two-phase Level-Set (LS) method. For turbulence closure, a two equation k-${\varepsilon}$ model with the standard wall function technique is used. Finally, the numerical results are compared with the available experimental data, showing good agreement.

• 대한기계학회논문집B
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• 제34권7호
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• pp.703-714
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• 2010

본 연구에서는 크리깅 기법을 이용하여 엇갈린 핀휜이 부착된 회전하는 내부냉각유로의 형상 최적화를 수행하였다. 냉각유로 형상의 여러 매개변수 중 핀의 지름과 높이의 비, 핀의 지름과 핀과 핀 사이의 거리의 비를 최적설계를 위한 설계변수로 선택하였다. 열전달 관련 목적함수와 마찰손실 관련 목적함수를 가중계수를 이용하여 선형적으로 결합한 목적함수를 정의하였다. 크리깅 모델을 구축하기 위해 라틴하이퍼큐브 샘플링기법에 의해 생성된 20개 실험점에서 목적함수가 SST난류모델을 사용한 삼차원 레이놀즈평균 나비어-스톡스(RANS) 유동해석법에 의해 계산되었다. 크리깅 기법을 통하여 예측된 목적함수값은 RANS해석을 이용해 계산된 값과 매우 작은 오차 범위 내에서 일치하였으며, 최적설계를 통해 목적함수가 11% 감소하는 결과를 얻었다.

• 한국수자원학회논문집
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• 제50권2호
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• pp.89-97
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• 2017

만곡수로에서의 흐름 구조는 나선형 운동을 갖는 이차 재순환 흐름 그리고 만곡부 측벽으로부터 발생하는 흐름분리로 인한 전단층 등으로 복잡하다. 이 연구에서는 3개의 통계학적 난류모형($k-{\varepsilon}$, RNG $k-{\varepsilon}$, $k-{\omega}$ SST) 그리고 자유수면 변동 해석을 위한 VOF 기법을 적용한 비정상 Reynolds-averaged Navier-Stokes (RANS) 계산을 수행하여 고진폭 만곡수로인 키노시타(Kinoshita) 수로에서의 이차류와 편수위를 해석하였다. 2차 정확도의 유한체적법을 이용하여 구한 해석결과를 기존 수리실험 자료와 비교하여 각 난류모형의 적용성을 평가하였다. 비정상 RANS 계산에서 적용한 3개의 통계학적 난류모형의 해석 결과를 분석해 보면 키노시타 수로에서 발생하는 만곡부 편수위는 3개 모형 모두 유사하게 모의하는 한편, 전반적인 이차류 분포는 $k-{\omega}$ SST상대적으로 잘 모의하는 것으로 나타났다. 하류에 위치한 만곡부 흐름에 영향을 미쳐 국부적으로 발생한 이차류와 이전의 만곡부 중앙 수면 부근에서 발생하는 한 쌍의 이차 와류가 존재하는 현상을 관측하였으며, $k-{\omega}$ SST 난류모형은 이러한 복잡한 와류 변화를 양호하게 모의했다. $k-{\varepsilon}$ 모형을 기반으로 개발된 두 모형으로 모의한 결과에서는 실험에서 관측된 중앙 만곡부에 존재하는 두 개의 이차류 중, 시계방향 와류가 재현되지 않는다. VOF기법을 이용해서 계산한 만곡부에서의 편수위 해석결과는 적용한 모든 난류모형에 대해서 전반적으로 실험값을 양호하게 재현하는 것으로 나타났다.

• 한국항공우주학회지
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• 제49권6호
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• pp.457-464
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• 2021

위성발사체에 심각한 진동하중을 발생시키는 버펫 현상을 해석하기 위하여, CFD 해석과 반경험식을 결합하여 천음속 영역 해머헤드 발사체에서 발생할 수 있는 압력섭동을 예측하였다. RANS 해석을 수행하여 충격파 진동 영역, 박리영역, 박리 재부착 지점 등을 확인하였으며, 경계층 두께, 배제 두께, 경계층 끝단에서의 유동 정보를 계산하였다. RANS 결과와 공간 분포를 고려한 반경험식을 결합하여 해머헤드 페어링 주위의 압력 섭동과 파워스펙트럼을 예측하였고 시험 결과와 비교하였다.

• International Journal of Naval Architecture and Ocean Engineering
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• 제12권1호
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• pp.892-901
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• 2020

We used a numerical method to estimate the hydrodynamic maneuvering derivatives for the heave-pitch coupling motion of an underwater glider. It is very important to assess the hydrodynamic maneuvering characteristics of a specific hull form of an underwater glider in the initial design stages. Although model tests are the best way to obtain the derivatives, numerical methods such as the Reynolds-averaged Navier-Stokes (RANS) method are used to save time and cost. The RANS method is widely used to estimate the maneuvering performance of surface-piercing marine vehicles, such as tankers and container ships. However, it is rarely applied to evaluate the maneuvering performance of underwater vehicles such as gliders. This paper presents numerical studies for typical experiments such as static drift and Planar Motion Mechanism (PMM) to estimate the hydrodynamic maneuvering derivatives for a Ray-type Underwater Glider (RUG). A validation study was first performed on a manta-type Unmanned Undersea Vehicle (UUV), and the Computational Fluid Dynamics (CFD) results were compared with a model test that was conducted at the Circular Water Channel (CWC) in Korea Maritime and Ocean University. Two different RANS solvers were used (Star-CCM+ and OpenFOAM), and the results were compared. The RUG's derivatives with both static drift and dynamic PMM (pure heave and pure pitch) are presented.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 춘계학술대회논문집B
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• pp.704-708
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• 2000

A new efficient numerical method for computing unsteady, incompressible flows, DRANS (Decoupled Reynolds-Averaged Navier-Stokes), is presented. To eliminate the restriction of CFL condition, a fully-implicit time advancement in which the Crank-Nicolson method is used fer both the diffusion and convection terms. is adopted. Based on decomposition method, the velocity-turbulent quantity decoupling is achieved. The additional decoupling of the intermediate velocity components in the convection term is made for the fully-implicit time advancement scheme. Since the iterative procedures for the momentum, ${\kappa}\;and\;{\varepsilon}$ equations are not required, the components decouplings bring fourth the reduction of computational cost. The second-order accuracy in time of the present numerical algorithm is ascertained by computing decaying vortices. The present decoupling method is applied to turbulent boundary layer with local forcing.

• International Journal of Naval Architecture and Ocean Engineering
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• 제6권2호
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• pp.418-430
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• 2014

In this paper, a modelling technique for simulating self-propelled ships in waves is presented. The flow is modelled using a RANS solver coupled with an actuator disk model for the propeller. The motion of the ship is taken into consideration in the definition of the actuator disk region as well as the advance ratio of the propeller. The RPM of the propeller is controlled using a PID-controller with constraints added on the maximum permissible RPM increase rate. Results are presented for a freely surging model in regular waves with different constraints put on the PID-controller. The described method shows promising results and allows for the studying of several factors relating to self-propulsion. However, more validation data is needed to judge the accuracy of the model.

• International Journal of Naval Architecture and Ocean Engineering
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• 제10권3호
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• pp.270-281
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• 2018

Application of the LeMoS hybrid (LH) URANS/LES method for the wake parameters prediction is considered. The wake fraction coefficient is calculated for inland ship model M1926 under shallow water conditions and compared to results of PIV measurements. It was shown that due to lack of the resolved turbulence at the interface between LES and RANS zones the artificial grid induced separations can occur. In order to overcome this drawback, a shielding function is introduced into LH model. The new version of the model is compared to the original one, RANS $k-{\omega}$ SST and SST-IDDES models. It is demonstrated that the proposed modification is robust and capable of wake prediction with satisfactory accuracy.

• 국제초고층학회논문집
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• 제8권4호
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• pp.291-302
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• 2019

We performed calculations combining optimization technologies and Computational Fluid Dynamics (CFD) aimed at reducing wind forces and mitigating wind environments (local strong winds) around buildings. However, the Reynolds Averaged Navier-stokes Simulation (RANS), which seems somewhat inaccurate, needs to be used to create a realistic CFD optimization tool. Therefore, in this study we explored the possibilities of optimizing calculations using RANS. We were able to demonstrate that building configurations advantageous to wind forces could be predicted even with RANS. We also demonstrated that building layouts was more effective than building configurations in mitigating local strong winds around tall buildings. Additionally, we used the Convolutional Neural Network (CNN) as an airflow prediction method alternative to CFD in order to increase the speed of optimization calculations, and validated its prediction accuracy.