The method based on frequency measurement to localize structure damage is widely applied to structure health monitor.In this paper,the structural damage detection is divided into three courses,which are structural damage identification,structural damage localization and structural damage severity determination course.Damage detection courses are named by modal parameters and inputted to neural network as parameters for structural health monitoring.Damages of different locations and severity on a box beam are simulated with BP neural network.
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郭琳,孙伟,魏建军.基于BP神经网络算法的土木结构损伤检测研究[J].华东交通大学学报,2007,(4):39-42. GUO Lin, XUN Wei, WEI Jian-jun. The Study of Structural Damage Detection Based on BP Neural Network Technique[J]. JOURNAL OF EAST CHINA JIAOTONG UNIVERSTTY,2007,(4):39-42