船舶在冰上性能预测的数值模拟工具评估

M. Lau
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引用次数: 0

摘要

本文提供了NRC-OCRE(国家研究委员会-海洋、海岸和河流工程)中可用模型的总体综述,这些模型可用于支持船舶在冰情下的性能评估。这些模型被分为三大类:经验型、数值型和实时型,并根据主要优势和劣势进行了回顾。给出了建模类别的总体概述和每个类别中的特定模型。在每个建模类别中,对特定模型进行比较,以概述独立模型和建模类别本身的关键特征。在每个类别和子类别中选择一个代表性模型,并使用它来表示给定场景的输出。这样就可以演示每个建模类别的输出能力。它还为读者提供了与所选模型的输入需求和验证相关的附加信息。讨论了将冰荷载模型集成到现有船舶仿真框架中的问题。审查了一个特定的案例,在该案例中成功地进行了集成并进行了记录。这允许演示一个过程,可以遵循更新一个人的数值模拟能力。在此综述的基础上,提供了选择数值工具的指导,以扩展当前船舶性能建模能力,以考虑冰作业。每个建模类别和子类别都有其独特的优点和缺点。应详细考虑这些问题,以确保所选择的数值模型在评估所需情景和与现有软件接口的能力方面是最佳的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Numerical Modeling Tools for the Prediction of Ship Performance in Ice
This paper provides a general review of available models used in the NRC-OCRE (National Research Council – Ocean, Coastal and River Engineering) that could be used to support the assessment of a ship’s performance in ice conditions. The models were separated into three main categories: empirical, numerical and real-time, and reviewed in terms of key strengths and weaknesses. A general overview of the modelling categories and specific models within each category is given. Within each modelling category, specific models were compared to outline the key features of both the independent models and the modelling category itself. A representative model within each category and sub-category was selected and used to present the output for a given scenario. This enabled a demonstration of output capabilities for each modelling category. It also provides the reader with additional information pertaining to the input requirements and validation for the selected models. A discussion of the integration of an ice loading model into an existing ship simulation framework is included. A specific case was reviewed in which a successful integration had occurred and was documented. This allowed for demonstration of a process that could be followed for updating one’s numerical modelling capabilities. Based on this review, guidance was provided in terms of selecting a numerical tool to extend current ship performance modelling capabilities to consider ice operations. Each modelling category and sub-category has a unique set of advantages and disadvantages. These should be considered in detail to ensure that the numerical model(s) selected are optimal in terms of their ability to assess desired scenarios and interface with existing software.
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