摘要
介绍了支持向量机的分类算法,构造了基于模态柔度相对变化量的损伤识别指标,并将此指标作为支持向量机的特征参数进行训练和结构的损伤识别,通过对简支梁仿真计算及试验结果表明:支持向量机对结构损伤的识别有着良好的抗噪性能,该方法对梁的损伤位置有较高的识别能力。
The SVM classification algorithm is introduced,and the index of damage identification,which is constructed based on modal flexibility of relative changes,it is used as characteristic parameters to train the SVM to realize the identification of structure damage.The simulation results of the simply supported beam and experimental results prove that the SVM has nice anti-noise property for the structural damage identification,and the results show that this approach has high classification rate for the identification of damage＇s location of beam.
出处
《山西建筑》
2010年第10期63-64,共2页
Shanxi Architecture
关键词
支持向量机
结构损伤识别
模态柔度相对变化量
抗噪性能
Support Vector Machine
structural damage identification
modal flexibility of relative changes
anti-noise property
