含节点GFRP杆件轴压性能与直接二阶非线性高效分析模型

Axial compression performance and direct second-order nonlinear efficient analysis model of GFRP members with joints

  • 摘要: 拉挤玻璃纤维增强复合材料(GFRP)圆管的纤维纵向布置特征,使其适用于杆件主要承受轴向力的空间桁架结构。为了建立装配式GFRP空间桁架结构直接二阶非线性分析的杆件计算模型,本文以含螺栓球节点GFRP桁架杆件为研究对象。首先,通过轴向压缩试验获得其全过程轴压承载响应与失效模式,并利用实体-壳单元精细有限元模型进一步揭示其承载非线性来源于螺栓球节点屈服、GFRP管整体失稳及GFRP管劈裂破坏。在此基础上,采用多段等长梁单元模拟杆件初始弯曲,并借助多组非线性弹簧单元表征主要部件受载响应,从而建立含螺栓球节点GFRP桁架杆件直接二阶非线性高效分析模型,综合考虑了全部非线性因素。在GFRP单杆及单榀空间桁架结构中的应用均表明,该高效分析模型能够准确预测结构的极限承载能力和最终破坏位移,相对误差均小于3%,用于大型装配式FRP空间桁架结构计算分析可极大降低计算资源耗费。

     

    Abstract: The characteristic longitudinal arrangement of fibers in pultruded glass fiber reinforced polymer (GFRP) circular tubes makes them suitable for space truss structures where the members are primarily subjected to axial forces. To establish a member computational model for direct second-order nonlinear analysis of assembled GFRP space truss structures, this paper focuses on GFRP truss members with bolt-ball joints. The whole process of axial compression bearing responses and failure modes were first obtained through axial compression tests, and the refined finite element model of solid-shell elements was used to further reveal that the bearing nonlinearity arises from the yielding of bolt-ball joints, the overall instability of GFRP tubes, and the splitting failure of GFRP tubes. On this basis, multi-segment equal-length beam elements were employed to simulate the initial bending of the members, and multiple sets of nonlinear spring elements were utilized to represent the bearing responses of the primary components. Consequently, a direct second-order nonlinear efficient analytical model of GFRP truss members with bolt-ball joints was established, which comprehensively considered all nonlinear factors. The applications in GFRP single members and single space truss structures showed that the efficient analysis model can accurately predict the ultimate bearing capacity and final failure displacement of structures, with relative errors of less than 3% for both quantities, and can greatly reduce the computational resource consumption for the computational analysis of large-scale assembled FRP space truss structures.

     

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