考虑螺栓球节点半刚性的网格结构有限元模型修正研究

发布时间：2018-04-16 04:33

本文选题：螺栓球节点 + 空间网格结构　；参考：《振动与冲击》2014年06期

【摘要】：为获取用于螺栓球节点网格结构健康监测准确有限元模型,用具有刚度可调节点单元描述节点半刚性;采用神经网络技术,利用有限测点的模态信息构造频率与振型的组合参数CPFM作为网络的输入参数,提出对螺栓球节点单元刚度折减系数进行分步修正新方法。以单层柱面网壳振动台试验模型为例,在螺栓球节点精细化模型基础上,基于实测模态数据对其进行有限元模型修正。结果表明,修正后有限元模型能较好反映该网壳结构的真实动力特性,采用分步修正算法能精简神经网络结构,可有效用于螺栓球节点网格结构有限元模型修正,具有一定实用价值。
[Abstract]:In order to obtain the accurate finite element model for the health monitoring of the mesh structure of the bolted ball joints, the semi-rigid joints are described by means of the element with adjustable stiffness points, and the neural network technology is used to describe the semi-rigidity of the joints.By using the modal information of finite measurement points to construct the combined parameters of frequency and mode CPFM as the input parameters of the network, a new method to modify the stiffness reduction coefficient of the bolted spherical node element by steps is proposed.Taking the vibration table test model of single-layer cylindrical reticulated shell as an example, the finite element model is modified based on the measured modal data on the basis of the refined model of the bolted sphere node.The results show that the modified finite element model can better reflect the real dynamic characteristics of the latticed shell structure, and the stepwise correction algorithm can simplify the neural network structure, and can be used to modify the finite element model of the mesh structure of the bolted ball node effectively.It has certain practical value.
【作者单位】：北京工业大学空间结构研究中心;北京工业大学城市与工程安全减灾省部共建教育部重点实验室;
【基金】：国家自然科学基金(51278009);国家自然科学基金重大研究计划重点支持项目(90715034)
【分类号】：TU399

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