基于强震响应过程信息的大坝损伤识别研究

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摘要大坝遭遇强震后的破坏程度诊断是大坝安全评价的重要问题，大坝在强震中的损伤发展过程和发展路径破坏过程对于大坝安全评价同样具有重要的价值。针对这一问题，提出利用大坝在强震过程中的响应时程数据，对损伤部位、不同部位发生初始损伤的时间次序以及损伤程度采用基于小波变换的相关性分析进行识别的思想和技术，提出了基于移动时间窗的初始损伤时刻识别的阈值指标。并通过有限元仿真和振动台模型试验对所提出的方法进行了验证。结果表明，基于移动时间窗的损伤预警指标可以清晰识别出初始损伤时刻，并且利用小波变换将信号分解为不同频带上的信号值来检测信号的奇异点，还可判断结构的损伤位置及不同部位发生初始损伤的时间次序。

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关键词 ：混凝土坝, 地震动, 损伤识别, 小波分析, 损伤预警指标

Abstract：Damage identification is an important problem for a concrete dam’s safety evaluation after strong earthquake, while its damage development process or its failure process developing path are also valuable for its safety evaluation.Here, several novel methods utilizing time history data of the dam’s seismic response were proposed to identify its damage locations, damage level and time sequence of initial damage in different parts based on wavelet transform’s correlation analysis idea and technique.A damage threshold value index sk was proposed to recognize initial damage time instants based on the moving time window.The effectiveness of the proposed methods was verified through finite element simulation and shaking table model tests.Results showed that the damage early warning index based on the moving time window can clearly identify initial damage time instants; the wavelet transform is used to decompose a signal into signal values in different frequency bands, detect the signal’s singular points, and determine damage locations and time sequence of initial damage in different parts.

Key words： Concrete dam Earthquake Damage identification Wavelet analysis Damage-alarming index

收稿日期: 2018-06-20 出版日期: 2019-10-28

引用本文:

李静陈健云徐强顾太欧. 基于强震响应过程信息的大坝损伤识别研究[J]. 振动与冲击, 2019, 38(21): 37-43.
LI Jing, CHEN Jianyun, XU Qiang, GU Taiou. Damage identification for a concrete dam based on its seismic response process information. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(21): 37-43.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2019/V38/I21/37

[1] 仝飞, 程琳, 杨杰, 郑东健, 陈诗怡. 基于强震观测的拱坝模态参数识别的对比研究[J]. 地震工程与工程振动, 2017, 2: 37-46.
TONG Fei, CHENG Lin, YANG Jie, et al. The comparative research of identification of modal parameters on arch dam based on strong earthquake observation records [J]. Earchquake Engineering and Engineering Dynamics, 2017, Vol. 37(2): 37-46.
[2] Cawley, P. Adams, R.D. The location of defects in structures from measurements of natural frequencies [J]. Journal of Strain Analysis, 1979, 14: 49-57.
[3] Juneja, V., Haftka, R.t. Damage deection and damage detect ability analysis and experiments [J]. Journal of Aerospace Engineering, 1997, 10(4): 135-142.
[4] Pandey A.K., Biswas M., Samman M. M. Damage detection from changes in curcature mode shapes [J]. Journal of Sound and Vibration, 1991, 145: 321-332.
[5] Pandey A. K., Biswas M., Samman M. M. Damage detection in structures using changes in flexibility [J]. Journal of Sound and Vibration, 1994, 169: 3-7.
[6] Wu X., Ghaboussi J., Garrett J.H. Use of neural networks in detection of Structural damage [J]. Computer and Structures, 1992, 42:649-659.
[7] Mallat S. A Wavelet Tour of Signal Processing [M]. Academic Press, CA, USA, 1998.
[8] 李洪泉，董亮，吕西林. 基于小波变换的结构损伤识别与试验分析[J]. 土木工程学报, 2003, 36(5): 52-57.
Li Hongquan, Dong Liang, Lv Xilin. Identification of Structural Damage and Test Study Based on Wavelet Transform [J]. China Civil Engineering Journal, 2003, Vol. 36(5) 52-57.
[9] Hou Z, Noori M, St. Amand R. Wavelet-based approach for structural damage detection [J]. Journal of Engineering Mechanics，2000, 126(7): 677-683.
[10] Hera A., Hou Z. Application of wavelat analysis for ASCE structural health monitoring benchmark studies[J]. Journal of Engineering Mechanics, 2004,130(1): 96-104.
[11] 陈隽,徐幼麟,李杰. 经验模分解及小波分析在结构损伤识别中的应用: 试验研究[J]. 地震工程与工程振动, 2007,27(1): 110-116.
CHEN Jun, XU Youlin, LI Jie. Structural damage dection using empirical mode decomposition and wavelet analysis: experimental investigation [J]. Journal of Earthquake Engineering and Engineering Vibration, 2007, Vol. 27(1): 110-116.
[12] 刘红坡,范进. 基于振动信号小波变换的结构损伤识别试验研究[J]. 工程抗震与加固改造, 2010, 32(1): 75-79.
LIU Hongpo, Fan Jin. Trail study on methods of damage identification based on wavelet transform of vibration sign[J]. Earthquake Resistant Engineering and Retrofitting, 2010, Vol.32(1): 75-79.
[13] 余竹,夏禾,殷永高,孙敦华. 基于小波变换与 Lipschitz 指数的桥梁损伤识别研究[J]. 振动与冲击, 2015, 34(14): 65-69.
YU Zhu, XIA He, YIN Yonggao, et al. Bridge damage identification based on wavelet transform and Lipschitz exponent [J]. Journal of Vibration and Shock, 2015, Vol. 34(14): 65-69.