CAJ | 학술논문

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。
위획취용우라전구절점망격결구건강감측준학유한원모형，용구유강도가조절점단원묘술절점반강성；채용신경망락기술，이용유한측점적모태신식구조빈솔여진형적조합삼수CPFM작위망락적수입삼수，제출대라전구절점단원강도절감계수진행분보수정신방법。이단층주면망각진동태시험모형위례，재라전구절점정세화모형기출상，기우실측모태수거대기진행유한원모형수정。결과표명，수정후유한원모형능교호반영해망각결구적진실동력특성，채용분보수정산법능정간신경망락결구，가유효용우라전구절점망격결구유한원모형수정，구유일정실용개치。
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.