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Thermo-mechanical coupling analysis of statistically inhomogeneous porous materials with surface radiation by second-order two-scale method

机译:二阶二尺度法统计非均匀多孔材料与表面辐射的热力耦合分析

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摘要

A novel second-order two-scale method is developed to predict thermo-mechanical coupling performance of statistically inhomogeneous porous materials. For these materials, the sophisticated microstructure information of pores, including their shapes, orientations, sizes, spatial distributions, volume fractions and so on, leads to changes of the macroscopic thermo-mechanical properties. Also, radiation effect at microscale is considered in this study which has an important influence on the macroscopic temperature fields. Firstly, the microscopic configuration for the structure with random distribution is briefly characterized by a periodic layout of unit cells. Secondly, the second-order two-scale formulations for computing the thermo-mechanical coupling problems which consider the interaction between temperature and displacement fields are given in detail. Then, the statistical prediction algorithm based on the two-scale model is brought forward. Finally, some numerical examples for porous materials with varying probability distribution models are calculated by the algorithm proposed, and compared with the data by the theoretical method and experimental results. The comparison shows that the statistical two-scale model is validated for determination of the thermo-mechanical coupling properties of porous materials and demonstrates its potential applications in actual engineering computation.
机译:开发了一种新颖的二阶两尺度方法来预测统计上不均匀的多孔材料的热力耦合性能。对于这些材料,孔的复杂微观结构信息(包括其形状,方向,大小,空间分布,体积分数等)导致宏观热机械性能发生变化。此外,在这项研究中考虑了微观尺度的辐射效应,这对宏观温度场具有重要影响。首先,具有随机分布的结构的微观结构的简要特征是单位晶胞的周期性布置。其次,给出了考虑温度与位移场之间相互作用的热力学耦合问题的二阶二阶公式。然后,提出了基于两尺度模型的统计预测算法。最后,通过所提出的算法计算了具有不同概率分布模型的多孔材料的数值实例,并通过理论方法和实验结果与数据进行了比较。比较表明,该统计两尺度模型可用于确定多孔材料的热机械耦合特性,并证明了其在实际工程计算中的潜在应用。

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