人民长江 ›› 2021, Vol. 52 ›› Issue (9): 178-185.doi: 10.16232/j.cnki.1001-4179.2021.09.029

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基于流激响应伪信号处理的拱坝运行模态识别方法

宋蕾,刘中明,盛明强   

  • 发布日期:2021-10-27

Study on mode parameter identification method of high arch dams subjected to flow-excited vibration based on masking signal processing technique

SONG Lei, LIU Zhongmin, SHENG Mingqiang   

  • Published:2021-10-27

摘要: 针对高拱坝流激响应信号中内蕴噪声易造成泄流结构运行模态识别失真的问题,提出了一种基于流激响应伪信号处理的高拱坝运行模态识别方法。考虑到高拱坝泄流振动实测响应信号易被噪声掩盖等特点造成的真实信号难以提取问题,在分析高拱坝结构模态混淆产生机理的基础上,对其响应序列中可能导致结构模态失真的带宽信号掺入人工伪信号,以提升其信号序列的频部显著性。据此,提出了自适应噪声完备集合经验模态分解的密频结构振动响应信号分解方法,进而运用希尔伯特-黄变换方法与随机减量技术对其运行模态加以识别。工程实例表明:所提方法能够有效抑制高拱坝结构参数识别中的模态混淆现象,同时还可避免模态信息丢失,提高参数识别精度。

关键词: 高拱坝; 流激振动; 模态混淆; 伪信号处理; 参数识别;

Abstract: For the noise contained in the flow-excited response signal of high arch dams, it is easy to cause the distortion problem of the operation mode identification of discharge structure.A mode parameter identification method of high arch dams subjected to flow excitation based on masking signal processing technique is proposed.In view of the fact that measured response signals of a high arch dam flow discharge vibration are easy to be submerged by noise and difficult to extract, we analyze the mechanism of a high arch dam structural mode confusion, and then add artificial masking signal to the bandwidth signal in the response sequence that may cause structural mode distortion, so as to increase the frequency saliency of the signal sequence.Based on this, a complete ensemble empirical mode decomposition with adaptive noise method is constructed, which is suitable for decomposing the vibration response signal of closely spaced modes structure, and then the Hilbert-Huang transform and random decrement technique are used in combination to identify the operating mode of a high arch dam.Engineering example shows that the established method can effectively inhibit the mode confusion in structural parameter identification of high arch dams, while avoid the loss of mode information and improve the accuracy of parameter identification.

Key words: high arch dam; flow-excited vibration; mode confusion; masking signal processing technique; parameter identification;