环境激励下基于小波包能量曲率差的框架结构损伤定量识别

李红义; 邵伟伟; 朱占龙; 杨伟俊

doi:10.13204/j.gyjzG21112501

环境激励下基于小波包能量曲率差的框架结构损伤定量识别

doi: 10.13204/j.gyjzG21112501

中铁西北科学研究院有限公司, 兰州 730000

详细信息

作者简介:
李红义,男,1994年出生,硕士,中级工程师。电子信箱:18780169879@163.com

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- 文章访问数: 66
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- 被引次数: 0
出版历程
- 收稿日期: 2021-11-25
- 网络出版日期: 2023-03-22

Quantitative Damage Identification of Frame Structure Based on Wavelet Packet Energy Curvature Difference Under Environmental Excitation

Northwest Research Institute Co., Ltd., CREC, Lanzhou 730000, China

摘要

摘要: 损伤识别指标小波包能量曲率差对结构损伤定位的有效性已通过数值仿真、室内试验和工程项目的验证，但缺乏对结构损伤定量的分析。以3层空间框架结构为研究对象，采用有限元软件ABAQUS进行数值模拟和动力时程分析，引入虚拟脉冲响应函数，考察结构外部激励、损伤程度、损伤位置和弹性模量对其识别效果的影响，研究小波包能量曲率差对结构损伤程度的定量估计。结果表明：引入虚拟脉冲响应函数不影响小波包能量曲率差的损伤定位识别效果，并可有效减弱外部激励对其的影响；结构损伤程度、损伤位置对其有影响，弹性模量大于3.0×10¹⁰ Pa （包括等于3.0×10¹⁰ Pa）时对其无影响；通过数值拟合公式可以有效地定量识别结构损伤程度。
- 小波包能量曲率差 /
- 框架结构 /
- 虚拟脉冲响应函数 /
- 损伤定量
Abstract: The effectiveness of the wavelet packet energy curvature difference for damage identification has been verified by numerical simulations, laboratory tests, and engineering projects, but the quantitative analysis of structural damage is lacking. Taking the three-layer space frame structure as the research object, this study used the finite element software Abaqus for numerical simulation and dynamic time history analysis. Moreover, it introduced the virtual impulse response function to investigate the effects of the external structural excitation, damage degree, damage location, and elastic modulus on its recognition effect and study the quantitative estimation of the degree of structural damage by the wavelet packet energy curvature difference. The results indicate that the introduction of the virtual impulse response function does not affect the damage-location recognition effect of the wavelet packet energy curvature difference and can effectively reduce the influence of external excitation. The structural damage degree and damage location, however, have an impact on it, and when the elastic modulus is equal to or greater than 3.0×10¹⁰ Pa, it exerts no influence. The numerical fitting formula can effectively identify the degree of structural damage in a quantitative manner.
- wavelet packet energy curvature difference /
- frame structure /
- virtual impulse response function /
- damage quantification

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参考文献(17)

[1]	杨秋伟.基于振动的结构损伤识别方法研究进展[J].振动与冲击,2007(10):86-91,100 ,190.
[2]	FARRAR C R, JAUREGUI D A. Comparative study of damage identification algorithms applied to a bridge:I. Experiment[J]. Smart Materials and Structures, 1998, 7(5):704-719.
[3]	HOU Z, NOORI M, AMAND R S. Wavelet-based approach for structural damage detection[J]. Journal of Engineering Mechanics, 2000, 126(7):677-683.
[4]	LEI Y, HAN J, CHEN D. Identification of nonlinear systems using multi-scale wavelet support vectors machines[C]//IEEE International Conference on Control & Automation. 2007.
[5]	孙增寿, 韩建刚, 任伟新. 基于曲率模态和小波变换的结构损伤位置识别[J]. 地震工程与工程振动, 2005, 25(4):44-49.
[6]	丁幼亮, 李爱群, 缪长青. 基于小波包能量谱的结构损伤预警方法研究[J]. 工程力学, 2006, 23(8):42-48.
[7]	刘涛, 李爱群, 丁幼亮, 等. 基于小波包能量谱的结构损伤预警方法研究[J]. 振动与冲击, 2009, 28(4):4-9.
[8]	韩建刚, 任伟新, 孙增寿. 结构损伤识别的小波包分析试验研究[J]. 振动与冲击, 2006, 25(1):47-50.
[9]	常鹏,杨娜,张国培.多分辨率分析和小波能量曲率的框架结构损伤识别[J].哈尔滨工业大学学报,2016,48(6):170-176.
[10]	余竹,夏禾,Goicolea J M,等.基于小波包能量曲率差法的桥梁损伤识别试验研究[J].振动与冲击,2013,32(5):20-25.
[11]	葛继平,李胡生.基于小波包能量累积变异的梁桥损伤识别试验[J].振动.测试与诊断,2011,31(1):85-88 ,131.
[12]	项贻强,郏亚坤.基于小波总能量相对变化的结构损伤识别[J].振动与冲击,2017,36(14):38-44.
[13]	项贻强,郏亚坤.基于小波总能量相对变化的拱桥吊杆损伤识别[J].浙江大学学报(工学版),2017,51(5):870-878.
[14]	唐小兵. 结构损伤识别及数值模拟[D]. 武汉:武汉理工大学, 2004.
[15]	丁幼亮.大跨斜拉桥结构损伤预警理论、方法与应用[D]. 南京:东南大学,2006.
[16]	CHANG C C, SUN Z. Structural damage assessment based on wavelet packet transform[J]. Journal of Structural Engineering, 2002, 128(10):1354-1361.
[17]	李洪泉,吕西林.钢筋混凝土框架地震损伤识别与采用耗能装置修复的试验研究[J].建筑结构学报,2001, 22(3):9-14. 2209000020801414李忠诚.fbd