船舶力学
船舶力學
선박역학
JOURNAL OF SHIP MECHANICS
2015年
6期
654-663
,共10页
收敛%时域格林函数%滤波技术
收斂%時域格林函數%濾波技術
수렴%시역격림함수%려파기술
convergence%time-domain Green function%filtering scheme
在分析波浪中的船舶运动或者计算大型结构的水动力系数时,往往采用时域格林函数方法。时域格林函数的一个重要局限性在于它在计算具有倾斜壁面的水动力系数时,结果很容易发散。时域格林函数本身的奇异性以及高频振动特性显然是水动力发散的一个重要原因。但即使该奇异性通过增加粘性以及表面张力的方式使之消失,计算具有斜壁结构的水动力时,发散现象依然存在。因此,该文提出一种滤波方法,除去时域格林函数的高频部分,留下其低频部分,并定义滤波系数,从而使作用于斜壁结构上的水动力值收敛。通过文中结果与频域兴波格林函数法的比较来确定最优滤波系数。结果表明:最优滤波系数几乎与运动幅值无关,但会受到运动频率以及物面形状的影响。
在分析波浪中的船舶運動或者計算大型結構的水動力繫數時,往往採用時域格林函數方法。時域格林函數的一箇重要跼限性在于它在計算具有傾斜壁麵的水動力繫數時,結果很容易髮散。時域格林函數本身的奇異性以及高頻振動特性顯然是水動力髮散的一箇重要原因。但即使該奇異性通過增加粘性以及錶麵張力的方式使之消失,計算具有斜壁結構的水動力時,髮散現象依然存在。因此,該文提齣一種濾波方法,除去時域格林函數的高頻部分,留下其低頻部分,併定義濾波繫數,從而使作用于斜壁結構上的水動力值收斂。通過文中結果與頻域興波格林函數法的比較來確定最優濾波繫數。結果錶明:最優濾波繫數幾乎與運動幅值無關,但會受到運動頻率以及物麵形狀的影響。
재분석파랑중적선박운동혹자계산대형결구적수동력계수시,왕왕채용시역격림함수방법。시역격림함수적일개중요국한성재우타재계산구유경사벽면적수동력계수시,결과흔용역발산。시역격림함수본신적기이성이급고빈진동특성현연시수동력발산적일개중요원인。단즉사해기이성통과증가점성이급표면장력적방식사지소실,계산구유사벽결구적수동력시,발산현상의연존재。인차,해문제출일충려파방법,제거시역격림함수적고빈부분,류하기저빈부분,병정의려파계수,종이사작용우사벽결구상적수동력치수렴。통과문중결과여빈역흥파격림함수법적비교래학정최우려파계수。결과표명:최우려파계수궤호여운동폭치무관,단회수도운동빈솔이급물면형상적영향。
An important limitation of time-domain Green function is its divergence when analyzing ship motions in waves or computing the hydrodynamic coefficients of large flattering structures with prescribed motions. Singularity and highly oscillatory properties of time-domain Green function surely are an distinct reason for the divergence of hydrodynamic force on surface structures with oblique boundaries, but even this problem is solved by considering surface tension and fluid viscosity, the di-vergence still exists when analyzing ship motions in waves or computing the hydrodynamic coeffi-cients for large flattering structures. Thus this paper gives out a filtering scheme by removing the high-frequency part of time domain Green function and leaving low-frequency part and defines a filtering coefficient, which can make the hydrodynamic force on surface structures with oblique boundaries convergent. The results in this paper are compared with that by frequency domain Green function method to determine the optimum filtering coefficient. Results show that the optimum filter-ing coefficient nearly has nothing to do with motion amplitude but is influenced by the motion fre-quency and the shape of surface structures.