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闭孔泡沫材料仿真建模方法研究进展

Research progress on modeling methods for closed-cell foam materials

  • 摘要: 闭孔泡沫材料是一类兼具轻质、高比强度、高能量吸收、隔振、隔热等优良特性的结构功能一体化材料,国内外学者已针对闭孔泡沫材料的各项性能及机理开展了大量实验与仿真研究。数值仿真作为一种辅助手段可以有效应对泡沫材料实验研究中存在的试样间差异、实验成本高等实际问题。在仿真研究中,模型的合理性直接决定了仿真计算结果的可信程度,因此仿真建模是仿真研究中一个重要的核心问题。为此本文综合分析了闭孔泡沫材料仿真建模方面的国内外研究现状,对现有仿真模型及其建模方法进行了归纳总结。本文根据模型的结构特征将其分为连续介质模型、二维泡沫模型、三维周期泡沫模型、三维重构模型以及三维随机泡沫模型等几个大类,着重分析了各类仿真建模方法的优缺点及适用范围。最后,本文对仿真建模方法的发展趋势进行了展望。本文认为开发能够兼顾建模成本与仿真精度的建模方法仍然是闭孔泡沫材料仿真研究的主要挑战,将机器学习算法融入仿真建模是一个可行的发展方向。

     

    Abstract: Closed-cell foam materials are structural-functional integrated materials with the combined properties of lightweight, high specific strength, high energy absorption, vibration and thermal isolation. A large number of research studies have been performed on the properties and mechanisms of closed-cell foam materials by experiments and numerical simulations. As an auxiliary research method, numerical simulation can offer a solution to the issues in experiment research, such as structural variation between samples, high costs of experiment. Modeling is the core issue in the numerical research of closed-cell foam materials, because the credibility of numerical results relies heavily on a reasonable simulation model. In this paper, we comprehensively analyze the domestic and international literature about the modelling of closed-cell foam materials. The existing foam models in literature are summarized and classified into several types, including continuous models, two-dimensional porous models, three-dimensional periodic foam models, three-dimensional reconstruction models, and three-dimensional random foam models. The advantages, disadvantages and applicable scopes of each type of modeling methods are then analyzed thoroughly. The future trends in the modeling method are also discussed. Achieving a balance between cost and simulation accuracy in the modeling of foam model is still a critical task in the numerical research of closed-cell foam materials. It is a feasible way to integrate machine learning algorithms into simulation modeling.

     

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