基于卡尔曼滤波和中性轴位置的结构损伤识别

发布时间：2018-03-07 13:12

本文选题：桥梁结构　切入点：损伤识别　出处：《浙江大学学报(工学版)》2017年10期 　论文类型：期刊论文

【摘要】：根据材料力学理论对受弯梁中性轴位置的计算原理进行描述,导出中性轴位置与梁的上、下表面应变水平的关系式.采用小波多分辨率分析方法,去除长期应变监测数据中由温度引起的应变组分.采用卡尔曼滤波方法对应变数据进行降噪处理,基于降噪之后的应变数据得到中性轴位置的变化情况,并用于损伤判定.研究结果表明:采用小波多分辨率分析方法可以完成多组分应变信号的分解任务,采用卡尔曼滤波方法可以有效降低噪声对中性轴位置确定的不利影响,结合小波多分辨率分析和卡尔曼滤波方法的基于中性轴位置的结构损伤识别结果比直接运用应变数据计算得到的结果更加可靠.
[Abstract]:According to the theory of material mechanics, the calculation principle of neutral axis position of bending beam is described, and the relationship between neutral axis position and the upper and lower surface strain level of beam is derived. The wavelet multi-resolution analysis method is used to analyze the relationship between the neutral axis position and the strain level on the upper and lower surface of the beam. The strain component caused by temperature is removed from the long-term strain monitoring data. Kalman filter is used to reduce the noise of the strain data, and based on the strain data after noise reduction, the change of neutral axis position is obtained. The results show that the wavelet multi-resolution analysis method can be used to decompose the multi-component strain signal, and the Kalman filtering method can effectively reduce the adverse effect of noise on the neutral axis location. The results of structural damage identification based on neutral axis position based on wavelet multi-resolution analysis and Kalman filter are more reliable than those calculated by using strain data directly.
【作者单位】：浙江大学建筑工程学院;
【基金】：中央高校基本科研业务费专项资金资助项目(2017QNA4024)
【分类号】：U446

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