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首页> 外文期刊>Journal of offshore mechanics and arctic engineering >Numerical Uncertainty Analysis in Regular Wave Modeling
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Numerical Uncertainty Analysis in Regular Wave Modeling

机译：正则波建模中的数值不确定性分析

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摘要

In recent decades, the use of computational fluid dynamics (CFD) in many areas of engineering as a research and development tool has seen remarkable growth. Recently, an increasing concern with the assessment of the quality of CFD results has been observed. Wave modeling is an important task in many ocean engineering applications. Although numerical modeling studies of waves can be found in the literature for many applications, it is hard to find studies that present the numerical uncertainties of the results. In this study, the numerical uncertainties in mean wave parameters simulated using a viscous model were estimated using a procedure based on grid/time refinement studies and power series expansions. starccm+ software was used to simulate wave propagation. The computational domain was discretized using a trimmer mesh. The results obtained for a regular wave with a wave steepness ( H / L ) equal to 0.025 are presented. The numerical uncertainties in mean wave height and mean wave period were estimated along the computational domain. The results indicate that the convergence properties of the mean wave parameters with the grid refinement depended on both position in the domain and the selected wave parameter.
机译：在最近的几十年中，计算流体动力学（CFD）在许多工程领域中作为研究和开发工具的使用取得了惊人的增长。近来，已经观察到对CFD结果质量评估的日益关注。在许多海洋工程应用中，波浪建模是一项重要任务。尽管可以在文献中找到许多应用的波浪数值模拟研究，但是很难找到呈现结果数值不确定性的研究。在这项研究中，使用基于网格/时间细化研究和幂级数展开的过程，估计了使用粘性模型模拟的平均波参数的数值不确定性。使用starccm +软件模拟波传播。使用微调网格将计算域离散化。给出了波陡度（ H / L ）等于0.025的规则波的结果。沿计算域估算了平均波高和平均波周期的数值不确定性。结果表明，随着网格的细化，平均波参数的收敛性取决于域中的位置和所选波参数。

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