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小波变换在输电塔结构损伤位置识别中的应用 被引量:2

Application of Wavelet Transform on Damage Detection of Transmission Tower
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摘要 采用小波变换极大值在多尺度上的变换规律表征信号突变点的性质,从而确定信号有无奇异点并确定其位置,进而对等截面悬臂梁进行损伤位置识别。然后将该小波变换方法应用于大型输电铁塔的损伤位置识别。考虑到对大型结构施加荷载和监测变形曲线较为困难,提出了利用环境激励下的加速度响应沿高度变化的曲线作为基本信息进行小波变换的识别方法。结果表明,该方法能有效地识别沿高度刚度均匀分布或渐变的高耸格构式塔架的损伤位置,对存在刚度突变的塔架无法有效地识别刚度突变处的损伤。 The theory of damage detection of large structures according to the characteristics of the discontinuity point denoted by the change pattern of the maximal values of wavelet transform on multi-scales is presented in this paper. The theory is then applied to damage detection of power transmission tower. Considering the difficulty of monitoring the deformation curve of tall transmission tower, acceleration responses along the height of a tower under ambient excitation is used as the basic information for wavelet transform in the space domain. The result shows that this method can effectively identify the damage location of latticed tower with uniform stiffness or gradual change stiffness along height, but fails to detect damage of the latticed tower with abrupt change in stiffness.
出处 《石家庄铁道学院学报》 2006年第3期22-27,共6页 Journal of Shijiazhuang Railway Institute
关键词 小波变换 损伤识别 输电铁塔 健康监测 wavelets transform damage detection transmission tower health monitoring
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参考文献10

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共引文献61

同被引文献21

  • 1李惠,周文松,欧进萍,杨永顺.大型桥梁结构智能健康监测系统集成技术研究[J].土木工程学报,2006,39(2):46-52. 被引量:138
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