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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。
The composite structure of satin weave is complex and the traditional method of elastic property prediction is more difficult to apply. In order to solve this problem, a representative volume element (RVE) of satin weave composite material was established and the in-plane compressive elastic modulus and in-plane Poisson’s ratio prediction method of RVE model were studied. Based on the theory of energy method and the theory of single inclusion, the longitudinal compressive modulus of bent fiber bundle and the elastic property of pore-containing matrix are respectively predicted, and the mixing ratio in traditional meso mechanics is improved. Based on the obtained material properties, RVE The effective in-plane compressive modulus and in-plane Poisson’s ratio of the model have realized analytic forecasting. Based on the Python language, the ABAQUS finite element analysis software was redeveloped to establish a matrix-containing RVE model. The effective in-plane compressive modulus and in-plane Poisson’s ratio of the RVE model were obtained by finite element method Finite element method forecast. Based on the carbon / carbon composites, the analytical results are in good agreement with the numerical results, which can effectively predict the in-plane compressive properties of satin braided materials.