基于小波能量谱的盾构隧道损伤间接识别

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摘要地铁盾构隧道结构的健康服役对城市轨道交通运输的正常运转至关重要。以超长线状盾构隧道为研究对象，结合间接测量法和小波分析方法，提出了一种基于小波能量谱的盾构隧道损伤间接识别方法。建立了移动车辆和盾构隧道耦合振动的有限元模型，对车辆匀速通过盾构隧道的垂向振动加速度响应进行连续小波变换，得到信号能量谱在时间域内分布，构建基于小波能量谱的盾构隧道损伤识别指标。数值算例表明该方法可以准确识别盾构隧道单损伤和多损伤工况，并分析了车速、测量噪声、粗糙度等因素对损伤识别结果的影响。最后通过实验室试验验证了本文所提盾构隧道损伤间接识别方法的有效性。
关键词：盾构隧道；间接测量法；小波能量谱；损伤识别；车辆响应

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	罗辉1
	周剑锋1
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关键词 ：盾构隧道, 间接测量法, 小波能量谱, 损伤识别, 车辆响应

Abstract：The healthy service of metro shield tunnels is vital important to the normal operation of urban rail transit. Taking the long lining shield tunnel as research object, an indirect damage identification method based on the wavelet energy spectrum is proposed, which combines the indirect measurement method and the wavelet analysis method. The finite element model of coupled vibration of moving vehicle and shield tunnel is established. The continuous wavelet transform is applied to the vertical vibration acceleration response of a vehicle passing through a shield tunnel at uniform speed to obtain the signal energy spectrum distribution in the time domain. The damage identification index of shield tunnel based on wavelet energy spectrum is established. Numerical examples show that the method accurately identify single damage and multiple damage conditions of shield tunnel, and the influence of vehicle speed, measurement noise and roughness on damage identification results are analyzed. Finally, the effectiveness of the proposed indirect damage identification method for shield tunnel is verified by laboratory tests.
Keywords: shield tunnel; indirect measurement method; wavelet energy spectrum; damage identification; vehicle response

Key words： shield tunnel indirect measurement method wavelet energy spectrum damage identification vehicle response

收稿日期: 2021-07-08 出版日期: 2022-12-15

引用本文:

罗辉1，周剑锋1,2. 基于小波能量谱的盾构隧道损伤间接识别[J]. 振动与冲击, 2022, 41(23): 283-292.
LUO Hui1, ZHOU Jianfeng1,2. Indirect identification of shield tunnel damage based on wavelet energy spectrum. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(23): 283-292.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2022/V41/I23/283

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