一种高颗粒填充率丁羟推进剂二维细观模型生成方法

A method of generating two-dimensional mesoscopic model for hydrox-yl-terminated polybutadiene propellant with high particle volume fraction

  • 摘要: 为了从机制上认识推进剂的宏观力学性能和试验现象,对推进剂开展细观力学研究十分必要,而代表体积单元(RVE)则是细观力学研究中的重要部分。在随机序列吸附(RSA)方法的基础上,提出将投递区域离散为背景网格,再进行二次随机投递,可以生成80vol%颗粒含量的细观模型,模型生成效率相较于传统RSA方法有所提高。采用Python语言编程,利用ABAQUS的二次开发接口,实现了推进剂RVE模型的快捷生成,并加载周期性边界条件。采用模型生成实例说明了本文方法的有效性,为开展推进剂的细观分析提供了参考依据。

     

    Abstract: In order to understand the macroscopic mechanical properties and experimental phenomena of propellants from the mechanism, it is necessary to carry out meso-mechanical research on propellants, and the representative volume element (RVE) is an important part of meso-mechanics research. Based on the random sequential adsorption (RSA) method, the delivery area was discretized into a background grid, and then a second random delivery was performed, which can generate a mesoscopic model with 80vol% particle volume fraction, and the model generation efficiency is also improved compared with the traditional RSA method. The method was programmed in Python language, and the secondary development interface of ABAQUS was used to realize the rapid generation of RVE model and load periodic boundary conditions. The numerical examples were used to illustrate the effectiveness of the algorithm, which provides a reference for the meso-analysis of propellants.

     

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