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.
The computational principle of the neutral axis location of bending beam was presented based on the theory of material mechanics.The relationship between the neutral axis location and the strain levels of the upper and bottom surfaces of the beam was derived.The wavelet multi-resolution analysis method was used to remove the temperature-induced component of long-term strain monitoring data.The Kalman filter method was used for the de-noising process of the strain data.The variation of the neutral axis location was obtained based on the de-noised strain data for the damage judgment.Results show that the wavelet multi-resolution analysis method can handle the task of multi-component strain signal decomposition.The Kalman filter method can effectively reduce the adverse effect of the noise on the determination of the neutral axis location.The results obtained by the neutral axis location-based structural damage detection with the integration of wavelet multi-resolution analysis and Kalman filter method are more reliable than those directly calculated by use of the strain data.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2017年第10期2012-2018,共7页
Journal of Zhejiang University：Engineering Science
基金
中央高校基本科研业务费专项资金资助项目(2017QNA4024)
关键词
桥梁结构
损伤识别
中性轴位置
小波多分辨率分析
卡尔曼滤波
bridge structure
damage detection
neutral axis location
wavelet multi-resolution analysis
Kalman filter
