考虑螺栓球节点半刚性的网格结构有限元模型修正研究  

Finite element model updating of single-layer latticed cylindrical shell in consideration of the semi-rigid characters of bolt-ball joint

作　　者：刘才玮[1] 张毅刚[1,2] 吴金志[1] 

机构地区：[1]北京工业大学空间结构研究中心,北京100124 [2]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,北京100124

出　　处：《振动与冲击》2014年第6期35-39,43,共6页Journal of Vibration and Shock

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)

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。In order to get a more accurate finite element analysis model of bolt-ball shell for health monitoring,an element with adjustable stiffness model was used to reveal the semi-rigid characters of node.Then,the neural network technology was introduced,and a network input parameter CPFM utilizing limited measuring points information was constructed.A new method for the recognition of rigid factor,in reasonable consideration of the semi-rigid character of joint,was put forward.An experimental modal of single-layer latticed cylindrical shell with 157 nodes and 414 elements was used in shaking table test.Based on the basic model and measured modal data,a finite element model updating was carried out.The result shows that the method is effective and the true dynamic characters of the shell structure can be reflected better,at the same time the neural network can be simplified by applying step-by-step correction algorithm.

关 键 词：螺栓球节点 空间网格结构 半刚性 模态试验 神经网络 模型修正 

分 类 号：TU352.11[建筑科学—结构工程]