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| 小波包和频响函数随机-模糊统计的斜拉桥损伤识别 | |
| 引用本文： | 周奎, 李深圳, 宋子收, 李胡生. 小波包和频响函数随机-模糊统计的斜拉桥损伤识别[J]. 交通运输工程学报, 2011, 11(2): 18-23. doi: 10.19818/j.cnki.1671-1637.2011.02.004 |
| 作者姓名： | 周奎 李深圳 宋子收 李胡生 |
| 作者单位： | 1.上海理工大学 环境与建筑学院，上海 200093;;2.上海应用技术学院 城市建设与安全工程学院，上海 200235 |
| 基金项目： | “十一五”国家科技支撑计划项目(2006BAJ03A02); 上海市科委重点科技攻关项目(072105115) |
| 摘 要： |  针对单点损伤识别方法的缺点, 提出了基于频响函数和小波包能量谱的斜拉桥多点损伤识别指标。对结构损伤前后的频响函数值进行了随机-模糊均值处理, 将处理的频响函数作为基进行小波包能量谱分析, 提取能量累积变异值进行损伤识别, 并进行了独塔斜拉桥模型的试验研究和连续梁与简支梁的数值仿真。分析结果表明: 桥梁上有1处和2处损伤时都可被识别和定位; 损伤指标随着损伤程度的增加而变化, 损伤初期呈线性变化, 损伤程度在40%~50%时, 指标变化趋缓, 损伤超过50%后, 指标值又会急剧变化; 采用锤击激励比环境激励的损伤识别结果更好, 锤击激励力大小对损伤识别效果无影响。 |
| 关 键 词： | 斜拉桥 小波包 频响函数 随机模糊统计 损伤识别 虚拟激励 损伤指标 |
| 收稿时间： | 2010-12-12 |
Damage identification of cable-stayed bridge based on wavelet packet and random-fuzzy statistic of frequency response function |
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| ZHOU Kui, LI Shen-zhen, SONG Zi-shou, LI Hu-sheng. Damage identification of cable-stayed bridge based on wavelet packet and random-fuzzy statistic of frequency response function[J]. Journal of Traffic and Transportation Engineering, 2011, 11(2): 18-23. doi: 10.19818/j.cnki.1671-1637.2011.02.004 | |
| Authors: | ZHOU Kui LI Shen-zhen SONG Zi-shou LI Hu-sheng |
| Affiliation: | 1. School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China;;2. School of Urban Construction and Safety Engineering, Shanghai Institute of Technology, Shanghai 200235, China |
| Abstract: | In view of the defects of single-location damage identifying method,the multi-location damage identifying index of cable-stayed bridge in combination with wavelet packet energy spectrum and frequency response function(FRF) was proposed.The random-fuzzy mean was processed with the FRFs of undamaged and damaged structures.Wavelet packet energy spectrum was analyzed with the processed FRFs as wavelet base functions,and the value of accumulated energy variation was extracted to recognize damages.The experiment ... |
| Keywords: | cable-stayed bridge wavelet packet frequency response function random-fuzzy statistic damage identification virtual excitation damage index |
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