| Structural health monitoring of long-span suspension bridges using wavelet packet analysis |
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| 作者姓名： | 丁幼亮 李爱群 |
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| 作者单位： | College of Civil Engineering Southeast University，College of Civil Engineering Southeast University，Nanjing 210096 China，Nanjing 210096 China |
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| 基金项目： | National Hi-Tech Research and Development Program of China (863 Program) (No. 2006AA04Z416)，the National Natural Science Foundation of China Under Grant No. 50538020 |
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| 摘 要： | During the service life of civil engineering structures such as long-span bridges, local damage at key positions may continually accumulate, and may finally result in their sudden failure. One core issue of global vibration-based health monitoring methods is to seek some damage indices that are sensitive to structural damage. This paper proposes an online structural health monitoring method for long-span suspension bridges using wavelet packet transform (WPT). The WPT- based method is based on the energy variations of structural ambient vibration responses decomposed using wavelet packet analysis. The main feature of this method is that the proposed wavelet packet energy spectrum (WPES) has the ability to detect structural damage from ambient vibration tests of a long-span suspension bridge. As an example application, the WPES-based health monitoring system is used on the Runyang Suspension Bridge under daily environmental conditions. The analysis reveals that changes in environmental temperature have a long-term influence on the WPES, while the effect of traffic loadings on the measured WPES of the bridge presents instantaneous changes because of the nonstationary properties of the loadings. The condition indication indices VD reflect the influences of environmental temperature on the dynamic properties of the Runyang Suspension Bridge. The field tests demonstrate that the proposed WPES-based condition indication index VD is a good candidate index for health monitoring of long-span suspension bridges under ambient excitations.
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| 关 键 词： | 桥梁结构 震动实验 子波移动 悬挂桥 |
| 文章编号： | 1671-3664（2007）03-0289-06 |
| 收稿时间： | 18 June 2007 |
| 修稿时间： | 2007-06-18 |
Structural health monitoring of long-span suspension bridges using wavelet packet analysis |
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| Ding?Youliang,Li?Aiqun.Structural health monitoring of long-span suspension bridges using wavelet packet analysis[J].Earthquake Engineering and Engineering Vibration,2007,6(3):289-294. |
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| Authors: | Ding Youliang Li Aiqun |
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| Institution: | College of Civil Engineering, Southeast University, Nanjing 210096, China |
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| Abstract: | During the service life of civil engineering structures such as long-span bridges, local damage at key positions may continually accumulate, and may finally result in their sudden failure. One core issue of global vibration-based health monitoring methods is to seek some damage indices that are sensitive to structural damage. This paper proposes an online structural health monitoring method for long-span suspension bridges using wavelet packet transform (WPT). The WPT- based method is based on the energy variations of structural ambient vibration responses decomposed using wavelet packet analysis. The main feature of this method is that the proposed wavelet packet energy spectrum (WPES) has the ability to detect structural damage from ambient vibration tests of a long-span suspension bridge. As an example application, the WPES-based health monitoring system is used on the Runyang Suspension Bridge under daily environmental conditions. The analysis reveals that changes in environmental temperature have a long-term influence on the WPES, while the effect of traffic loadings on the measured WPES of the bridge presents instantaneous changes because of the nonstationary properties of the loadings. The condition indication indices VD reflect the influences of environmental temperature on the dynamic properties of the Runyang Suspension Bridge. The field tests demonstrate that the proposed WPES-based condition indication index VD is a good candidate index for health monitoring of long-span suspension bridges under ambient excitations. |
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| Keywords: | structural health monitoring wavelet packet analysis wavelet packet energy spectrum ambient vibration test long-span suspension bridge |
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