Structural Damage Detection Based on BP Neural Network Technique

摘要：

The method based on frequency measurement to localize structure damage is applied to structure healthy 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 course 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.

关键词： Natural Frequency Vibration Modal Neural Networke Ddamage Detection

作者: Guo Lin Wei Jianjun

作者单位: Xuzhou Institute of Architectural Technolog, Xuzhou, Jiangsui, 221008, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 2760-2763

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）