基于FLOW-3D的液舱晃荡载荷流固耦合映射方法研究

Research on fluid-structure interaction mapping methodology for liquid cargo tank sloshing loads using FLOW-3D

  • 摘要: 【目的】液舱晃荡载荷的传递是液货船流固耦合仿真的关键,目前未形成较为通用的映射方法和独立的工具,导致船舶常用的晃荡载荷预报软件无法与结构分析软件高效协同。【方法】通过对晃荡载荷预报软件和结构分析软件的分析,明确了两种软件的数据传递格式,提出了兼顾效率和精度的三种载荷流固耦合映射方法,并研发了独立的工具软件,形成了一套完整的自动化解决方案。【结果】通过实例验证,研发的工具可以高精度的实现载荷的传递,在结构模型上正确的反映晃荡载荷演化的趋势和细节特征,三种映射方法的数据传递误差均小于5%。【结论】研发的映射工具可以作为通用的晃荡载荷流固耦合通用工具,应用于液货船多物理场耦合分析及结构优化等场景中,可以大大提高工程人员的工作效率。

     

    Abstract: Objectives The transmission of sloshing loads in cargo tank compartments is a critical factor in fluid-structure interaction (FSI) simulations for liquid cargo ships. However, no universally applicable mapping methods or standalone tools have been established, leading to poor integration between widely used sloshing load prediction software and structural analysis tools. This limits their efficient collaboration in engineering applications. Methods Through an analysis of sloshing load prediction software and structural analysis software, this study clarified the data exchange formats between the two platforms. Three mapping methods for fluid-structure coupling that balance computational efficiency and accuracy were proposed. A dedicated tool software was developed to implement these methods, forming a complete automated solution for seamless data transmission and coupling analysis. Results Validation via case studies demonstrated that the developed tool achieves high-precision transmission of sloshing loads. It accurately captures the evolving trends and detailed characteristics of sloshing load distribution on structural models. The data transmission errors of all three proposed mapping methods were below 5%.Conclusions The developed mapping tool serves as a universal solution for fluid-structure interaction (FSI) analysis, applicable to multi-physics coupling simulations and structural optimization in liquid cargo ship design. It significantly improve the work efficiency of engineering personnel by streamlining the process of integrating sloshing load predictions with structural analysis workflows.

     

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