摘要
结构的静、动力刚度关系是动力损伤诊断技术应用于钢筋混凝土结构静力状态评估的基础 本文以一根钢筋混凝土简支梁为例,利用Matlab工具箱构造了一个人工神经网络以建立模态参数与动力刚度间的关系,再根据已有的动、静力刚度关系式方便地由实测得到的固有频率数据推算出相应状态下粱的静力刚度值。
The relationship between static and dynamic stiffness is the basis of the applications of dynamic damage diagnosis technique on evaluation of the damage states of reinforced concrete (RC) structures.As a case study,a simple-supported RC beam was investigated in this paper.Utilizing the toolbox encased in MATLAB,an artificial neural network was developed to find out the dynamic stiffness in terms of natural frequencies of the beam.Thereafter,based on the relationship between static stiffness and dynamic stiffness of the beams,the static stiffness can be obtained easily,which helps to evaluate the different damage states of the beam.The results demonstrate good accordance with the static experimental data.
出处
《广西民族学院学报（自然科学版）》
CAS
2002年第4期22-25,共4页
Journal of Guangxi University For Nationalities(Natural Science Edition)
关键词
动力刚度
静力刚度
人工神经网络
动力损伤诊断
static stiffness
dynamic stiffness
artificial neural network
dynamic damage diagnosis
