基于HHT-RDT算法的高拱坝泄流结构工作模态识别方法

魏博文,钟紫蒙,李火坤

振动与冲击 ›› 2020, Vol. 39 ›› Issue (10) : 106-113.

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振动与冲击 ›› 2020, Vol. 39 ›› Issue (10) : 106-113.
论文

基于HHT-RDT算法的高拱坝泄流结构工作模态识别方法

  • 魏博文,钟紫蒙,李火坤
作者信息 +

Working modal identification method for high arch dam discharge structure based on HHT-RDT algorithm

  • WEI Bowen,ZHONG Zimeng,LI Huokun
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文章历史 +

摘要

根据高拱坝泄流结构自身的工作特点,为准确辨识环境激励下的结构模态参数特征,提出了一种基于改进的HHT-RDT算法的高拱坝泄流结构工作模态识别方法。以某高拱坝原型振动响应测试资料为基础,利用改进的小波阈值-EMD算法对原始信号进行降噪预处理,滤除干扰噪声的同时保留有效特征信息;采用HHT-RDT算法识别高拱坝泄流结构的工作模态参数,运用带通滤波对振动响应信号的EMD过程进行控制得到结构的各阶模态分量,利用RDT法提取各阶模态分量的自由衰减信息,识别出高拱坝泄流结构系统的固有频率及阻尼比。工程实例表明,该方法避免了复杂系统定阶过程,有效提高结构振动响应工作模态识别精度,为辨识高拱坝泄流结构的工作模态参数提供捷径。

Abstract

According to the working characteristics of high arch dam discharge structure,a working modal identification method of high arch dam discharge structure based on improved HHT-RDT algorithm was proposed to accurately identify the structural modal parameters under environmental excitation.Based on the prototype vibration response of high arch dam, the improved wavelet threshold-EMD algorithm was used to filter out interference noise while retaining valid characteristic information.The working modal parameters of the discharge structure of the high arch dam were identified by the HHT-RDT algorithm: the EMD process of the vibration response signal was controlled by band-pass filtering to obtain the modal components of the structure, and the natural frequency and damping ratio of the discharge structure system of the high arch dam were identified.The engineering example shows that the proposed method can avoid the complex ordering process of the system, improve the accuracy of working modal identification, and make it easier for the working modal parameter identification of high arch dam discharge structure.

关键词

高拱坝 / 流激振动 / 滤波降噪 / 希尔伯特黄变换-随机减量技术(HHT-RDT) / 参数识别

Key words

high arch dam / vibration under discharge excitation / noise reduction / Hilbert-Huang transform-random decrement technique(HHT-RDT) / working modal identification

引用本文

导出引用
魏博文,钟紫蒙,李火坤. 基于HHT-RDT算法的高拱坝泄流结构工作模态识别方法[J]. 振动与冲击, 2020, 39(10): 106-113
WEI Bowen,ZHONG Zimeng,LI Huokun. Working modal identification method for high arch dam discharge structure based on HHT-RDT algorithm[J]. Journal of Vibration and Shock, 2020, 39(10): 106-113

参考文献

[1]     H K LI,  Y J Wang, B W Wei. Inversion algorithm for the whole prototype dynamic displacement field of a high arch dam based on limited measuring points[J]. Journal of Vibration and Control, 2016, 23(20): 3431-3447.

[2]     练继建, 张建伟, 李火坤, . 泄洪激励下高拱坝模态参数识别研究[J]. 振动与冲击, 2007, 26(12): 101-105.(LIAN Jijian, ZHANG Jianwei, LI Huokun, et al. Study on modal parameter identification of hign arch dam under flood discharge excitation[J]. Journal of Vibration and Shock, 2007, 26(12): 101-105.(in chinese))

[3]     李成业, 刘昉, 马斌, . 基于改进HHT的高拱坝模态参数识别方法研究[J]. 水力发电学报, 2012, 31(1): 48-55.(LI Chengye, LIU Fang, MA Bin, et al. Study on modal parameters identification method of high arch dam based on improved Hilbert-Huang transform[J]. Journal Of Htdroelectric Engineering, 2012, 31(1):48-55.(in Chinese))

[4]     张建伟, 暴振嘉, 江倚. 小波-ICA联合技术在水工结构应变损伤识别中的应用[J]. 振动与冲击, 2016, 35(11): 180-185.(ZHANG Jianwei, BAO Zhenlei, JIANG Qi. Application of a combined technique of wavelet and ICA in strain damage identification of hedraulic structures[J]. Journal of Vibration and Shock, 2016, 35(11): 180-185.(in Chinese))

[5]     Brincker R, Zhang L, Andersen P. Modal identification of output only systems using frequency domain decomposition[J]. Smart Materials & Structures, 2001, 10(3):441.

[6]     朱尚清, 卢九章. 基于随机子空间法的系杆拱桥模态测试分析[J]. 市政技术, 2015, 33(5): 38-41.(ZHU Shangqing, LU Jiuzhang. Analysis of Modal Testing Based on Stochastic Subspace Method of Tied Arch Bridge[J]. Municipal Engineering Technology, 2015, 33(5): 38-41. (in Chinese))

[7]     聂雪媛, 丁桦. 基于随机减量技术的模态参数识别方法探讨[J]. 机械设计, 2012, 29(8): 1-5.(NIE Xueyuan, DING Hua. Discussion on modal parameter identification method based on random decrement technique[J]. Journal of Machine Design, 2012, 29(8): 1-5.(in Chinese))

[8]   任春, 张继承, 罗奇峰. HHT方法在结构模态参数时域识别中的应用[J]. 长江大学学报(自然科学版)理工卷, 2008, 5(4): 115-118+414.(REN Chun, ZHANG Jicheng, LUO Qifeng. Structure modal parameter identification in time-domain based on HHT[J]. Journal of yangtze university(Natural Science Edition, 2008, 5(04): 115-118+414.(in Chinese))

[9]     Michael Feldman. Time-varying vibration decomposition and analysis based on the Hilbert transform[J]. Journal of Sound and Vibration, 2005, 295(3): 518-530.

[10]  Huokun LI, Jijian LI. Operational Modal Parameter Identification of High Arch Dam Under flood discharge exciting Based on Frequency Domain Decomposition Method[J]. Journal of vibration and shock, 2008, (27): 149-153.

[11]  田鹏明, 连俊义, 张凤. 随机减量法在工作模态参数识别中的应用研究[J]. 机电工程技术, 2012, 41(06): 105-108.(TIAN Pengming, LIAN Junyi ZHANG Feng. Application and Research of Random Decrement Technique in Operating Modal Parameter Identification[J]. Mechanical & Electrical Engineering Technology, 2012, 41(06): 105-108.(in Chinese))

[12]  涂文戈, 邹小兵. 基于HVDRDT的工作模态识别[J]. 广西大学学报(自然科学版), 2018, 43(01): 132-140.(TU Wenge, ZOU Xiaobing. Operational modal identification based on Hilbert vibration decomposition and random decrement technique[J]. Journal of Guangxi University(Natural Science Edition), 2018, 43(01): 132-140.(in Chinese))

[13]  Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, 1998, 454(1971): 903-995.

[14]  张建伟, 朱良欢, 江琦, . 基于HHT的高坝泄流结构工作模态参数辨识[J]. 振动. 测试与诊断, 2015, 35(4): 777-783+804.(ZHANG Jianwei, ZHU Lianghuan, JIANG Qi, et al. Research on Operating Modal Parameter Identification for High Dam Discharge Structure Based on the Hilbert-Huang transform[J]. Journal of Vibration, Measurement & Diagnosis, 2015, 35(4): 777-783+804.(in Chinese))

[15]  谯雯, 罗佩, 刘国明. 基于自然激励技术和HHT变换的重力坝模态分析[J]. 水利学报, 2014, 45(8): 958-966.(QIAO Wen, LUO Pei, LIU Guoming. Modal parameter identification of gravity dam based on natural excitation technique and Hilbert-Huang transform[J]. Journal of Hydraulic Engineering, 2014, 45(8): 958-966.(in Chinese))

[16]  He X H, Hua X G,Chen Z Q, et al. EMD-based random decrement technique for modal parameter identification of an existing railway bridge[J]. Engineering Structures, 2011, 33(4): 1348-1356.

[17]  Frank Pai P, Palazotto A N. HHT-based nonlinear signal processing method for parametric and non-parametric identication of dynamical systems[J]. International Journal of Mechanical Sciences, 2008, 50: 1619-1635.

[18]  韩建平, 李林, 王洪涛, 钱炯. 基于Hilbert-Huang变换和随机减量技术的模态参数识别[J]. 世界地震工程, 2011, 27(1): 72-77.(HAN Jianping, LI Lin, WANG Hongtao, et al. Modal parameter identification based on Hilbert-Huang transform and random decrement technique[J]. World Earthquake Engineering, 2011, 27(1): 72-77.(in Chinese))

[19]  李炜, 陈晓辉, 毛海杰. 小波阈值消噪算法中自适应确定分解层数研究[J]. 计算机仿真, 2009, 26(03): 311-313+336.(LI Wei, CHEN Xiaohui, MAO Haijie. A Study of Adaptive Optimal Decomposition Level in Threshold De-noising Algorithm Based on Wavelet Transform[J]. Computer Simulation, 2009, 26(03): 311-313+336.(in Chinese))

[20]  Mert A, Akan A. Detrended fluctuation thresholding for empirical mode decomposition based denoising[J]. Digital Signal Processing, 2014, 32: 48-56.

[21]  何文平, 吴琼, 成海英, . 不同滤波方法在去趋势波动分析中去噪的应用比较[J]. 物理学报, 2011, 60(2): 818-826.(He Wenping, WU Qiong, CHENG Haiying, et al. Comparison of applications of different filter methods for de-noising detrended fluctuation analysis[J]. Acta Physica Sinica, 2009, 26(03): 311-313+336.(in Chinese))

[22]  刘付斌, 高相铭. 基于EEMDDFAHurst指数估计[J]. 测控技术, 2013, 32(10): 98-101.(LIU Fubin, GAO Xiangming. Estimation of Hurst Index Based on EEMD and DFA[J]. Measurement & Control Technology, 2013, 32(10): 98-101.(in Chinese))

[23]  练继建, 李火坤, 张建伟. 基于奇异熵定阶降噪的水工结构振动模态ERA识别方法[J]. 中国科学, 2008, 38(9): 1398-1413.(LIAN Jijian, LI Hunkun, ZHANG Jianwei. Hydraulic structure vibration mode ERA recognition method based on singular entropy fixed-stage noise reduction [J]. Chinese Science, 2008, 38(9): 1398-1413.(in Chinese))

[24]  谯雯, 刘国明, 刘枨. 基于强震记录的水口混凝土重力坝模态分析[J]. 地震工程与工程振动, 2014 (3): 25-33.(QIAO Wen, LIU Guoming, LIU Cheng. Modal parameter identification of shuikou concreter gravity dam from strong earthquake records[J]. Earthquake Engineering and Engineering Dynamics, 2014(3): 25-33.(in Chinese))

狄生奎, 张得强, 李健. 基于ITD法的结构模态参数识别[J]. 土木工程与管理学报, 2012, 29(4) : 15-19.(DI Shengkui, ZHANG Deqiang, LI Jian. Modal Parameter Identification of Structure Based on ITD Method[J]. Journal of Civil Engineering and Management, 2012, 29(4): 15-19.(in Chinese)

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