共查询到18条相似文献，搜索用时 148 毫秒
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基于Longuet－Higgins提出的非线性随机海浪模型，在二阶近似下通过直接计算联合分布的各阶矩，导出了非线性海浪波面高度和波面垂直速度的联合分布。该分布为非正态，其形式为截断的级数，而非由累积矩母函数方法可能得到的渐近无穷级数。由于非线性的影响，波面高度与波面垂直速度不再相互独立。 相似文献
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基于Ｌｏｎｇｕｅｔ－Ｈｉｇｇｉｎｓ提出的非线性随机海浪模型，在二阶近似下通过直接计算联合分布的各阶矩，导出了非线性海浪波面高度和波面垂直速度的联合分布，该分布为非正态，其形式为截断的级数，而非由累积矩母函数方法可能得到的渐近无穷级数。由于非线性的影响，波面高度与波面垂直速度不再相互独立。 相似文献
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非线性海浪波面与波高的统计分布 总被引：10，自引：0，他引：10
采用风浪谱参量化的方法将随机波面无因次化,把波面与波高概率分布的各阶矩展开为谱宽度根方的幂级数,并由此导出波面与波高的统计分布。结果表明,在准确至零阶和一阶时,风浪分别退化为静止海面和单色波;在准确至二阶时,波面为线性模型,即波面服从正态分布;而在准确至三阶以上时,波面分布与Longuet-Higgins导出的非线性海浪模型的Gram-Charlier形分布具有同效益;并在准确至三阶时,导出一种新的波高分布,此分布函数以Longuet-Higgins等给出的Rayleigh分布作为二阶近似的特例。 相似文献
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非线性随机海浪模型的一种新形式 总被引：5，自引：1，他引：5
以反映随机海浪非线性的波面高度分布高阶矩为参量，提出一种新形式的非线性随机海浪模型，在三阶近似下具体导出其波面高度的表达工和推导出二阶谱。本文模式为Ｌｏｎｇｕｅｔ－Ｈｇｇｉｎｓ模式的另一种新的数学表示。 相似文献
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基于Longuest-Higgins(1963)非线性海浪模型,在有限水深且存在均匀背景流的条件下,根据Song(2006)给出的波面位移二阶表达式,采用Combi海浪频谱计算了海表面定点波面位移时间序列和波面位移概率统计分布。分析了波面位移统计分布随风速、水深、反波龄和均匀背景流的变化特征和规律以及不同海况条件下二阶非线性项对波面位移统计分布的影响。结果表明:二阶非线性项使波面位移分布偏离正态分布,二阶非线性作用受风速、水深、反波龄和均匀背景流的影响。风速增大、水深降低、反波龄减小或者均匀背景流和风速传播方向相反均使波面位移二阶非线性项的作用加强,无因次波面位移概率密度分布的偏度和峰度随之增大,反之则二阶非线性项作用减弱。当均匀背景流和风速相同时,虽然使非线性项的作用减弱,但平均波面位移反而比静止水平面降低。当均匀背景流和风速相反时,虽然使非线性作用增强,但平均波面位移反而趋于静止水平面。得到如下结论:二阶非线性项对于波面位移有显著影响,数值模拟波面位移需要增加二阶非线性项。通过以上研究,提高了数值模拟波面位移的准确性,而波面位移是海浪最基本的特征量,从而增强了海浪模拟和预报的准确性,对海洋工程、海–气相互作用、上层海洋动力学等具有重要意义。 相似文献
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文凡 《中国海洋大学学报(自然科学版)》2000,30(4)
基于 L onguet- Higgins线性海浪模型 ,在二维情况下导出海浪波面极大值处水质点水平加速度分布律 ,其分布遵从正态分布。在分布中引入新的谱宽度参量 [(m2 m4 - m23 ) / m2 m4 ]12 。以Neumann谱为模式计算波面极大值处质点加速度分布。 相似文献
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变浅作用下浅水海浪谱的计算 总被引：1，自引：0，他引：1
深水海浪向近岸传播过程中,由于变浅作用,其波面高度分布,波谱都发生了变化。本文基于非线性系统的输出和输入间亦存在转换关系,通过波面高度分布函数建立了深水正态海浪过程作为输入和浅水偏态海浪过程作为输出之间的非线性转换关系,导出了深、浅水谱间的理论关系。在假定能通量不变的条件下,提出了一种由已知深水谱和波面偏度计算二维海浪变浅作用下的浅水谱的方法,并对其进行了讨论和检验。 相似文献
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《Coastal Engineering》2004,50(4):169-179
Based on the second-order random wave solutions of water wave equations in finite water depth, a joint statistical distribution of two-point sea surface elevations is derived by using the characteristic function expansion method. It is found that the joint distribution depends on five parameters. These five parameters can all be determined by the water depth, the relative position of two points and the wave-number spectrum of ocean waves. As an illustrative example, for fully developed wind-generated sea, the parameters that appeared in the joint distribution are calculated for various wind speeds, water depths and relative positions of two points by using the Donelan and Pierson spectrum and the nonlinear effects of sea waves on the joint distribution are studied. 相似文献
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Based on the nonlinear model of two-dimensional random sea waves, a statistical distribution of wave surface slope exact to the third order is derived by using the expansion of the characteristic function and direct calculations of each order moment. Based on the distribution of wave surface slope derived in this paper, a whitecap coverage is proposed by using the limit surface slope as a criterion of wave breaking. The whitecap coverage expressed by the model depends on three parameters which can be determined in principle by the linear wave spectrum and three kinds of wave-wave interaction. 相似文献
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WANG Ying-guang 《海洋工程》2017,31(3):291-298
This article proposes a new methodology to predict the wave height and period joint distributions by utilizing a transformed linear simulation method. The proposed transformed linear simulation method is based on a Hermite transformation model where the transformation is chosen to be a monotonic cubic polynomial, calibrated such that the first four moments of the transformed model match the moments of the true process. The proposed new approach is applied for calculating the wave height and period joint distributions of a sea state with the surface elevation data measured at an offshore site, and its accuracy and efficiency are favorably validated by using comparisons with the results from an empirical joint distribution model, from a linear simulation model and from a second-order nonlinear simulation model. 相似文献
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Based on the second-order random wave theory, the joint statistical distribution of the horizontal velocity and acceleration is derived using the characteristic function expansion method. From the joint distribution and the Morison equation, the theoretical distributions of drag forces, inertia forces and total random wave forces are determined. The distribution of inertia forces is Gaussian as that derived using the linear wave model, whereas the distributions of drag forces and total random forces deviate slightly from those derived utilizing the linear wave model. It is found that the distribution of wave forces depends solely on the frequency spectrum of sea waves associated with the first order approximation and the second order wave–wave interaction. 相似文献
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In this paper, without recourse to the nonlinear dynamical equations of the waves, the nonlinear random waves are retrieved from the non-Gaussian characteristic of the sea surface elevation distribution. The question of coincidence of the nonlinear wave profile, spectrum and its distributions of maximum (or minimum) values of the sea surface elevation with results derived from some existing nonlinear theories is expounded under the narrow-band spectrum condition. Taking the shoaling sea wave as an example, the nonlinear random wave process and its spectrum in shallow water are retrieved from both the non-Gaussian characteristics of the sea surface elevation distribution in shallow water and the normal sea waves in deep water and compared with the values actually measured. Results show that they can coincide with the actually measured values quite well, thus, this can confirm that the method proposed in this paper is feasible. 相似文献
16.
Hong Guangwen Feng Weibing Professor Hohai University Nanjing
Master of Science Hohai University Nanjing 《中国海洋工程》1993,(3)
According to the theoretical solutions for the nonlinear three-dimensional gravity surface waves and their interactions with vertical wall previously proposed by the lead author, in this paper an exact second-order random model of the unified wave motion process for nonlinear irregular waves and their interactions with vertical wall in uniform current is formulated, the corresponding theoretical nonlinear spectrum is derived, and the digital simulation model suitable to the use of the FFT (Fast Fourier Tansform) algorithm is also given. Simulations of wave surface, wave pressure, total wave pressure and its moment are performed. The probability properties and statistical characteristics of these realizations are tested, which include the verifications of normality for linear process and of non-normality for nonlinear process; the consistances of the theoretical spectra with simulated ones; the probability properties of apparent characterstics, such as amplitudes, periods, and extremes (maximum and minimum, positive and negative extremes). The statistical analysis and comparisons demonstrate that the proposed theoretical and computing models are realistic and effective, the estimated spectra are in good agreement with the theoretical ones, and the probability properties of the simulated waves are similar to those of the sea waves. At the same time, the simulating computation can be completed rapidly and easily. 相似文献
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Statistical analysis of nonlinear random waves is important in coastal and ocean engineering. One approach for modeling nonlinear waves is second-order random wave theory, which involves sum- and difference-frequency interactions between wave components. The probability distribution of the non-Gaussian surface elevation can be solved using a technique developed by Kac and Siegert [21]. The wave field can be significantly modified by wave diffraction due to a structure, and the nonlinear diffracted wave elevation can be of interest in certain applications, such as the airgap prediction for an offshore structure. This paper investigates the wave statistics due to second-order diffraction, motivated by the scarcity of prior research. The crossing rate approach is used to evaluate the extreme wave elevation over a specified duration. The application is a bottom-supported cylindrical structure, for which semi-analytical solutions for the second-order transfer functions are available. A new efficient statistical method is developed to allow the distribution of the diffracted wave elevation to be obtained exactly, accounting for the statistical dependency between the linear, sum-frequency and difference-frequency components. Moreover, refinements are proposed to improve the efficiency for computing the free surface integral. The case study yields insights into the problem. In particular, the second-order nonlinearity is found to significantly amplify the extreme wave elevation, especially in the upstream region; conversely, the extreme elevation at an oblique location downstream is attenuated due to sheltering effects. The statistical dependency between the linear and sum-frequency components is also shown to be important for the extreme wave statistics. 相似文献
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Based on the second-order solutions obtained for the three-dimensional weakly nonlinear random waves propagating over a steady uniform current in finite water depth, the joint statistical distribution of the velocity and acceleration of the fluid particle in the current direction is derived using the characteristic function expansion method. From the joint distribution and the Morison equation, the theoretical distributions of drag forces, inertia forces and total random forces caused by waves propagating over a steady uniform current are determined. The distribution of inertia forces is Gaussian as that derived using the linear wave model, whereas the distributions of drag forces and total random forces deviate slightly from those derived utilizing the linear wave model. The distributions presented can be determined by the wave number spectrum of ocean waves, current speed and the second order wave–wave and wave–current interactions. As an illustrative example, for fully developed deep ocean waves, the parameters appeared in the distributions near still water level are calculated for various wind speeds and current speeds by using Donelan–Pierson–Banner spectrum and the effects of the current and the nonlinearity of ocean waves on the distribution are studied. 相似文献