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| 基于模态分析和神经网络的裂缝损伤识别 | |
| 引用本文： | 赵卓,王晓阳,梁军.基于模态分析和神经网络的裂缝损伤识别[J].世界地震工程,2006,22(2):104-109. |
| 作者姓名： | 赵卓 王晓阳 梁军 |
| 作者单位： | 1. 郑州大学,土木工程学院,河南,郑州,450002 2. 郑州路桥建设投资集团有限公司,河南,郑州,450052 3. 河南建达工程建设监理公司,河南,郑州,450002 |
| 摘 要： | 提出了裂缝损伤诊断的神经网络方法,探讨了用模态技术和神经网络对混凝土结构裂缝损伤进行识别与定位的方法。文中以一简支矩形截面梁为研究对象,通过完好结构和损伤结构的有限元分析,获取两者的损伤标识量,输入BP神经网络训练。以损伤位置和裂缝高度作为输出参数,对其进行单处损伤定位的研究。数值仿真结果表明,采用神经网络方法可以对裂缝做出较好的诊断。 |
| 关 键 词： | 模态分析 神经网络 裂缝 损伤识别 |
| 文章编号： | 1007-6069(2006)02-0104-06 |
| 收稿时间： | 2006-01-15 |
| 修稿时间： | 2006-03-21 |
The crack damage identification by the modal analysis and artificial neural networks |
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| ZHAO Zhuo,WANG Xiao-yang,LIANG Jun.The crack damage identification by the modal analysis and artificial neural networks[J].World Information On Earthquake Engineering,2006,22(2):104-109. | |
| Authors: | ZHAO Zhuo WANG Xiao-yang LIANG Jun |
| Institution: | 1. College of Civil Engineering, Zhengzhou university, Zhengzho 450002, China; 2. Zhengzhou road and bridge investment group company, Zhengzhou 450052, China; 3. Henan Jianda construction consultation company, Zhengzhou 450002, China |
| Abstract: | In this paper a odemtofocatopm method combined the modal analysis with artificial neural networks to identifying and locating the crack damage is presented.A simple supported beam is analysed by finite element method,and the damage indices of perfect structure and damaged structure are gained.Then BP method is used to analyse the single damage quantification and its location,the results are proved that the method can be applied to the crack damage identification. |
| Keywords: | modal analysis artificial neural networks crack damage identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |