熊波, 罗锡林, 谭惠丰. 考虑接头作用的全复合材料桁架结构多尺度分析[J]. 工程力学, 2015, 32(8): 229-235. DOI: 10.6052/j.issn.1000-4750.2014.01.0010
引用本文: 熊波, 罗锡林, 谭惠丰. 考虑接头作用的全复合材料桁架结构多尺度分析[J]. 工程力学, 2015, 32(8): 229-235. DOI: 10.6052/j.issn.1000-4750.2014.01.0010
XIONG Bo, LUO Xi-lin, TAN Hui-feng. MULTI-SCALE ANALYSIS OF ALL-COMPOSITE TRUSS CONSIDERING JOINT EFFECTS[J]. Engineering Mechanics, 2015, 32(8): 229-235. DOI: 10.6052/j.issn.1000-4750.2014.01.0010
Citation: XIONG Bo, LUO Xi-lin, TAN Hui-feng. MULTI-SCALE ANALYSIS OF ALL-COMPOSITE TRUSS CONSIDERING JOINT EFFECTS[J]. Engineering Mechanics, 2015, 32(8): 229-235. DOI: 10.6052/j.issn.1000-4750.2014.01.0010

考虑接头作用的全复合材料桁架结构多尺度分析

MULTI-SCALE ANALYSIS OF ALL-COMPOSITE TRUSS CONSIDERING JOINT EFFECTS

  • 摘要: 为提高全复合材料桁架分析的精度和效率,引入结构多尺度有限元思想,对接头进行精细化建模,通过建立两点位移约束实现不同尺度模型连接,从而将接头模型嵌入宏观桁架模型,并针对具体制备工艺赋予桁架材料属性。为验证多尺度模型的优势,同时进行全复合材料桁架实验,以及分别基于全部梁单元模型和全部实体单元模型的有限元分析。对比相关模型的计算精度与效率,结果表明多尺度模型能够较好地兼顾计算精度与效率。该文针对全复合材料桁架的结构多尺度有限元建模方法,可精确分析全复合材料桁架承载性能,并且能够提供有效的局部信息,可用于分析其他包含复杂细节构造的大尺度复合材料结构。

     

    Abstract: The structural multi-scale finite element concept is introduced for improving analysis precision and efficiency of all-composite trusses. The fine modeling joints are embed into the macro truss model by imposing displacements constraints on two points to connect different scale models, and the material properties are given for actual truss preparation process. In order to verify the advantages of the multi-scale finite element model, bending experiment, finite element analysis based on pure beam elements and that based on pure solid elements are conducted respectively. Comparisons of computational accuracies and efficiencies among the above finite element models show that the multi-scale model can obtain a better balance between calculation accuracy and efficiency. The multi-scale finite element method can accurately analyze all-composite truss bearing performances and provide effective local information at the same time. Furthermore, the method is applicable to large-scale composite structures with complex local details.

     

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