선체 저항에 대한 수치 해석의 통계적 신뢰도 분석
Statistical Reliability Analysis of Numerical Simulation for Prediction of Model-Ship Resistance
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초록
A wide scope of numerical simulations was performed to predict model-ship resistances by using STAR-CCM+ and OpenFOAM. Thenumerical results were compared with experimental measurements in towing tank to analyze statistical reliability of the presentsimulations. Based on the normal distribution of resistance errors in 113 cases of container carriers, tankers and very large crude-oilcarriers, the confidence intervals of numerical error were estimated as [-2.64%,+2.32%] and [-1.82%, +1.87%] with 95% confidence inSTAR-CCM+ and OpenFOAM, respectively. The resistance errors of liquefied natural gas carriers with single- and twin-skeg wereconfident in the ranges of [-2.51%,+2.64%] and [-2.29%, +1.46%], respectively. The grid uncertainty of resistance coefficients for KCSwas also quantitatively analyzed by using a grid verification procedure. The grid uncertainty of OpenFOAM (5.1%) was larger than 4.4%uncertainty of STAR-CCM+ although OpenFOAM provided statistically more confident results than those of STAR-CCM+. It means that agrid system verified under a specific condition does not automatically lead to statistical reliability in general cases.
Abstract
A wide scope of numerical simulations was performed to predict model-ship resistances by using STAR-CCM+ and OpenFOAM. Thenumerical results were compared with experimental measurements in towing tank to analyze statistical reliability of the presentsimulations. Based on the normal distribution of resistance errors in 113 cases of container carriers, tankers and very large crude-oilcarriers, the confidence intervals of numerical error were estimated as [-2.64%,+2.32%] and [-1.82%, +1.87%] with 95% confidence inSTAR-CCM+ and OpenFOAM, respectively. The resistance errors of liquefied natural gas carriers with single- and twin-skeg wereconfident in the ranges of [-2.51%,+2.64%] and [-2.29%, +1.46%], respectively. The grid uncertainty of resistance coefficients for KCSwas also quantitatively analyzed by using a grid verification procedure. The grid uncertainty of OpenFOAM (5.1%) was larger than 4.4%uncertainty of STAR-CCM+ although OpenFOAM provided statistically more confident results than those of STAR-CCM+. It means that agrid system verified under a specific condition does not automatically lead to statistical reliability in general cases.
참고문헌 (9)
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