ISEGST在非线性RC结构瞬时频率识别中的应用

沈中祥1,2,3,袁平平1, 3,刘义1

振动与冲击 ›› 2021, Vol. 40 ›› Issue (22) : 283-288.

PDF(1227 KB)
PDF(1227 KB)
振动与冲击 ›› 2021, Vol. 40 ›› Issue (22) : 283-288.
论文

ISEGST在非线性RC结构瞬时频率识别中的应用

  • 沈中祥1,2,3,袁平平1, 3,刘义1
作者信息 +

Application of ISEGST in instantaneous frequency identification of nonlinear RC structures

  • SHEN Zhongxiang1,2,3, YUAN Pingping1,3, LIU Yi1
Author information +
文章历史 +

摘要

为了提高结构瞬时频率的识别精度,本文采用了一种新的广义S变换,通过能量集中度(concentration measure ,CM)原理来优化选择窗函数的参数,并引入同步提取变换推导了改进同步提取广义S变换(Improved Synchroextracting Generalized S-transform,ISEGST)。将ISEGST应用到非线性钢筋混凝土(Reinforced Concrete,RC)结构的瞬时频率识别中,通过三层RC框架结构数值算例和七层剪力墙振动台试验来验证该方法的可行性和有效性。研究结果表明,ISEGST能有效识别非线性RC结构的瞬时频率,是一种准确性较高的时频分析方法。

Abstract

In order to improve the accuracy of structural instantaneous frequency identification, a new form of generalized S-transform was used. The energy concentration measure(CM)was applied to optimally select the parameters of window function, and the improved synchroextracting generalized S-transform(ISEGST)was introduced by combining the new generalized S-transform and synchroextracting transform. Then, the ISEGST was applied to the instantaneous frequency identification of nonlinear reinforced concrete(RC)structures. The feasibility and effectiveness of this method were verified by a numerical example of three-story RC frame structure and a shaking table test of seven-story shear wall. The results show that ISEGST can effectively identify the instantaneous frequency of nonlinear RC structures, and it is a time-frequency analysis method with high accuracy.

关键词

瞬时频率 / 时频分析 / 能量集中度 / 改进同步提取广义S变换

Key words

instantaneous frequency / time-frequency analysis / energy concentration measure / improved synchroextracting of generalized S-transform

引用本文

导出引用
沈中祥1,2,3,袁平平1, 3,刘义1. ISEGST在非线性RC结构瞬时频率识别中的应用[J]. 振动与冲击, 2021, 40(22): 283-288
SHEN Zhongxiang1,2,3, YUAN Pingping1,3, LIU Yi1. Application of ISEGST in instantaneous frequency identification of nonlinear RC structures[J]. Journal of Vibration and Shock, 2021, 40(22): 283-288

参考文献

[1] 刘景良, 任伟新, 王佐才, 等. 基于同步挤压小波变换的结构瞬时频率识别[J]. 振动与冲击, 2013, 32(18): 37-42+48.
Liu Jing-liang, Ren Wei-xin, Wang Zuo-cai, et al. Instantaneous frequency identification based on synchrosqueezing wavelet transform[J]. Journal of Vibration and Shock, 2013, 32(18): 37-42+48.
[2] 薛景宏, 韩伟玉, 张超. 小波方法识别框架结构损伤[J]. 科学技术与工程, 2010, 10(06): 1560-1562.
Xue Jing-hong, Han Wei-yu, Zhang Chao. Frame structure damage identification with the wavelet method[J]. Science Technology and Engineering, 2010, 10(06): 1560-1562.
[3] 陶冬旺. 基于数据驱动和物理模型的结构地震损伤识别方法研究[D]. 哈尔滨:哈尔滨工业大学, 2013.
[4] 裴强, 刘小庆, 吴凯. 基于时频分析S变换的高层框架损伤识别研究[J]. 沈阳建筑大学学报(自然科学版), 2018, 34(06): 981-987.
Pei Qiang, Liu Xiao-qing, Wu Kai. Damage identification of high-rise frame based on S-transform time-frequency analysis[J].  Journal of Shenyang Jianzhu University Natural Science, 2018, 34(06): 981-987.
[5] 韩伟玉. 小波分析在框架结构损伤识别中的应用[D].大庆:大庆石油学院, 2009.
[6] 杨新涛. 基于Hilbert-Huang变换的结构损伤识别研究[D].  大连:大连理工大学, 2013.
[7] 孙小云, 韩建平, 党育, 等. 地震动持时对考虑梁柱节点区不同破坏模式RC框架的地震易损性影响[J]. 工程力学, 2018, 35(05): 193-203.
Sun Xiao-yun, Han Jian-ping, Dang Yu,et al. Effect of  groud motion buration on seismic fragility of RC frames eith different beam-column joint failure modes[J]. Engineering Mechanics, 2018, 35(05): 193-203.
[8] 孙凯. 云南永胜地震动时频谱输入及结构可靠性研究[D].  云南:云南大学, 2019.
[9] 韩建平, 程诗焱, 于晓辉, 等. 地震动持时对RC框架结构易损性与抗震性能影响[J]. 建筑结构学报, 1-12.
Han Jian-ping, Chen Shi-yan, Yu Xiao-hui, et al. Effect of ground motion duration on seismic fragility of RC frame structures[J]. Journal of Building Structures, 1-12.
[10] 孙猛猛. 非平稳环境激励下高层建筑结构模态参数识别[D].  武汉:武汉理工大学, 2019.
[11] Yang Y, Peng Z, Zhang W, et al. Parameterised time-frequency analysis methods and their engineering applications: A review of recent advances[J]. Mechanical Systems and Signal Processing, 2019, 119: 182-221.
[12] Liu J, Zheng J, Wei X, et al. A combined method for instantaneous frequency identification in low frequency structures[J]. Engineering Structures, 2019, 194: 370-383.
[13] 刘景良, 郑锦仰, 郑文婷, 等. 基于改进同步挤压小波变换识别信号瞬时频率[J]. 振动.测试与诊断, 2017, 37(04): 814-821+848.
Liu Jingliang, Zhen Jinyang, Zhen Wenting, et al. Instantaneous frequency identification based on improved synchrosqueezing wavelet transform[J]. Journal of Vibration, Measurement & Diagnosis, 2017, 37(04): 814-821+848
[14] Stockwell R G, Mansinha L, Lowe R. Localization of the complex spectrum: the S transform[J]. IEEE transactions on signal processing, 1996, 44(4): 998-1001.
[15] Zidelmal Z, Hamil H, Moukadem A, et al. S-transform based on compact support kernel[J]. Digital Signal Processing, 2017, 62: 137-149.
[16] Stanković L. A measure of some time–frequency distributions concentration[J]. Signal Processing, 2001, 81(3): 621-631.
[17] Moukadem A, Bouguila Z, Ould Abdeslam D, et al. A new optimized Stockwell transform applied on synthetic and real non-stationary signals[J]. Digital Signal Processing, 2015, 46: 226-238.
[18] Daubechies I, Lu J, Wu H-T. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool[J]. Applied and Computational Harmonic Analysis, 2011, 30(2): 243-261.
[19] 赵朋. 基于改进的S变换时频谱重排的时变结构瞬时频率识别研究[D]. 合肥:合肥工业大学, 2019.
[20] Yu G, Wang Z, Zhao P. Multisynchrosqueezing Transform[J]. IEEE Transactions on Industrial Electronics, 2019, 66(7): 5441-5455.
[21] Yu G, Yu M, Xu C. Synchroextracting transform[J]. IEEE Transactions on Industrial Electronics, 2017, 64(10): 8042-8054.
[22] Liu H, Xiang J. Kernel regression residual decomposition-based synchroextracting transform to detect faults in mechanical systems[J]. ISA Trans, 2019, 87: 251-263.
[23] Li Z, Gao J, Li H, et al. Synchroextracting transform: The theory analysis and comparisons with the synchrosqueezing transform[J]. Signal Processing, 2020, 166: 107243.
[24] Chen H, Lu L, Xu D, et al. The synchrosqueezing algorithm based on generalized s-transform for high-precision time-frequency analysis[J]. Applied Sciences, 2017, 7(8): 769.
[25] 康佳星. 同步提取变换算法的改进研究及其在地震信号分析中的应用[D]. 成都:成都理工大学, 2018.
[26] Panagiotou M , Restrepo José I, Conte J P . Shake-Table Test of a Full-Scale 7-Story Building Slice. Phase I: Rectangular Wall[J]. Journal of Structural Engineering, 2011, 137(6):691-704.

PDF(1227 KB)

343

Accesses

0

Citation

Detail

段落导航
相关文章

/