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为考察炭黑对橡胶复合材料超弹性力学行为的影响,首先,利用不同填充体积分数的炭黑增强橡胶复合材料的准静态力学试验数据,对现有的基于均质化方法的“变形放大”细观力学模型的大变形表征能力进行了评估。其次,在此基础上提出了新的“第一不变量放大”关系,并获得了较为合理的预测结果。最后,利用随机序列吸附算法建立了较接近材料真实细观结构的球形颗粒填充数值模型,进行了大变形情况下的三维数值模拟;为考察颗粒聚集效应的影响,还设置了颗粒均匀随机分布和团聚随机分布两种形式。计算结果与试验数据的对照表明:提出的三维细观数值模型已经能在一定程度上预测填充橡胶的大变形宏观力学行为,且颗粒团聚随机分布模型的预测能力更好一些。试验结果验证了该模型的合理性,所建模型为进一步的相关研究提供了参考。
In order to investigate the effect of carbon black on the superelasticity behavior of rubber composites, firstly, the quasi-static mechanical test data of carbon black reinforced rubber composites with different filling volume fractions were used to analyze the existing “ ”Micro-mechanics model of large deformation characterization capabilities were evaluated. Secondly, on this basis, a new “first invariant amplification” relationship is proposed, and a more reasonable prediction result is obtained. Finally, a numerical model of spherical particle filling closer to the real mesostructure of material was established by using random sequence adsorption algorithm, and three-dimensional numerical simulation was carried out under large deformation. In order to investigate the effect of particle aggregation, a uniform random distribution of particles Reunion randomly distributed in two forms. Comparing the calculated results with the experimental data, it is shown that the proposed three-dimensional numerical model can predict the macro-mechanical behavior of large deformation of filled rubber to a certain extent, and the predictive ability of particle agglomeration stochastic distribution model is better. The test results verify the rationality of the model, and the model provided a reference for further related research.