摘要
针对刚度和柔度敏感参数的选取进行了论述,证明从一些低阶模态参数就可以获得柔度矩阵的精确估计值.利用柔度矩阵参数,并结合神经网络的计算模型,提出了基于柔度的神经网络结构损伤诊断方法.最后用仿真算例验证了该方法的有效性.
In this paper, the choice of sensitive parameter of stiffness or flexibility is discussed, and it is proved that the exact value of flexibility matrix may be obtained from some lower model parameters. So a new method combining flexibility parameter and the neural networks for the structural damage detection is proposed. In the end, a numerical example is given to show the effectiveness of the proposed method.
出处
《福州大学学报（自然科学版）》
CAS
CSCD
北大核心
2005年第1期69-72,共4页
Journal of Fuzhou University(Natural Science Edition)
关键词
神经网络
损伤诊断
柔度矩阵
刚度矩阵
neural networks
damage detection
flexibility matrix
stiffness matrix
