含孔隙基体缎纹编织复合材料面内压缩弹性性能预报

缎纹编织复合材料细观结构复杂,传统弹性性能预报方法较难适用。针对该问题,建立缎纹编织复合材料代表体积单元(RVE),对RVE模型面内压缩弹性模量和面内泊松比的预报方法进行了研究。分别基于能量法原理和单夹杂理论,对弯曲纤维束纵向压缩模量和含孔隙基体弹性性能进行预报,改进了传统细观力学中的混合率方法,并利用已得的组分材料性能对RVE模型有效面内压缩模量和面内泊松比实现了解析法预报。基于Python语言对ABAQUS有限元分析软件进行二次开发,建立了基体含孔隙的RVE模型,利用RVE模型在基本受力状态下的有限元方法结果实现有效面内压缩模量和面内泊松比的有限元方法预报。基于碳/碳复合材料,解析法与数值法计算结果吻合很好,实现了对缎纹编织材料面内压缩性能的有效预报。

Prediction on in-plane compression elastic properties of satin weave composites with pore matrix

Because of the complex meso-structure of satin weave composites, it is difficult to apply traditional methods to prediction on elastic properties. For this problem, the representative volume element (RVE) of satin weave composite was established and research on prediction on effective in-plane compression modulus and in-plane Poisson's ratio of the RVE was made. Longitude compression modulus of bending fiber yarns and properties of pore matrix were calculated based on energy method and inclusion theory, respectively. Traditional rules of mixtures formulations were improved so as to get an accurate analytical prediction on in-plane compression modulus and in-plane Poisson's ratio of the RVE. The model of the RVE was established based on Python language being used in the finite element method software ABAQUS. Prediction on effective in-plane compression modulus and in-plane Poisson's ratio was made based on finite element method results of the model under the basic forced state. The error between analytical method and numerical simulation is small, which gives an excellent prediction on in-plane compression modulus and in-plane Poisson's ratio of carbon/carbon satin weave composites.