基于压电智能骨料的混凝土梁裂缝损伤监测研究

摘要
图/表
参考文献(17)
相关文章 (1)

全文: PDF (2959 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要针对混凝土结构裂缝损伤的重要性以及现有监测方法的不足，提出了一种基于压电智能骨料的混凝土梁损伤程度判定和损伤识别定位方法。在介绍了压电智能骨料监测原理的基础上，根据小波包分解理论构造小波包能量，提出基于小波包能量的损伤指标。试验中，将压电智能骨料等间距埋入混凝土梁中，驱动器和传感器分别用于发射信号和接收信号，采用线性正弦扫描信号分别对健康和不同损伤程度下混凝土梁的不同区域进行扫描，依据提出的损伤指标对试件损伤进行识别判定。试验结果与试件的实际损伤情况相吻合，验证了用压电智能骨料监测混凝土梁裂缝损伤的可行性。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	张浩1
	李俊杰1
	2
	康飞1

关键词 ：压电智能骨料, 混凝土梁监测, 裂缝损伤, 小波包能量分析

Abstract：In view of the importance of crack damage in concrete structures and the deficiency of existing monitoring methods, a method based on piezoelectric smart aggregates was proposed to determine the damage degree and identify and locate the damage of concrete beam. After introducing the monitoring principles of piezoelectric smart aggregates, wavelet packet energy was constructed according to wavelet packet decomposition theory, and the damage index based on wavelet packet energy was proposed. In the experiment, piezoelectric smart aggregates were embedded into concrete beam at equal intervals, and actuators and sensors were used for transmitting and receiving signals respectively. Linear sinusoidal scanning signals were used to scan different areas of concrete beam under health and different degree of damage. The experimental results were in agreement with the actual damage situation of the specimens, which verified the feasibility of using piezoelectric smart aggregates to monitor the crack damage of concrete beam.

Key words： piezoelectric smart aggregate concrete beam monitoring crack damage wavelet packet energy analysis

收稿日期: 2020-07-23 出版日期: 2021-11-15

引用本文:

张浩1，李俊杰1,2，康飞1 . 基于压电智能骨料的混凝土梁裂缝损伤监测研究[J]. 振动与冲击, 2021, 40(21): 215-222.
ZHANG Hao1, LI Junjie1,2, KANG Fei1. Crack damage monitoring of concrete beam based on piezoelectric intelligent aggregate. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(21): 215-222.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2021/V40/I21/215

[1] 李宏男，高东伟，伊廷华. 土木工程结构健康监测系统的研究状况与进展[J]. 力学进展 2008(02):151-166.
Li Hong-nan, GAO Dong-wei, YI Ting-hua. Research status and progress of structural health monitoring system in civil Engineering [J]. Advances in Mechanics 2008(02):151-166.
[2] 贺拴海，赵祥模，马建等.公路桥梁检测及评价技术综述[J]. 中国公路学报，2017，30(11):63-80.
He Shuan-hai, ZHAO Xiang-mo, MA Jian, et al. Review of highway and bridge detection and evaluation technology [J]. Journal of China highway, 2017,30(11):63-80.
[3] Li W, Ho S C, Patil D, et al. Acoustic emission monitoring and finite element analysis of debonding in fiber-reinforced polymer rebar reinforced concrete[J]. Structural Health Monitoring-an International Journal, 2017, 16(6): 674-681.
[4] Lei B, Wang N, Xu P, et al. New Crack Detection Method for Bridge Inspection Using UAV Incorporating Image Processing[J]. Journal of Aerospace Engineering, 2018, 31(5): 04018058.
[5] Sagar R V. Acoustic emission characteristics of reinforced concrete beams with varying percentage of tension steel reinforcement under flexural loading[J]. Case Studies in Construction Materials, 2017: 162-176.
[6] Liu Y F, Cho S, Spencer B F, et al. Concrete Crack Assessment Using Digital Image Processing and 3D Scene Reconstruction[J]. Journal of Computing in Civil Engineering, 2016, 30(1).
[7] Bremer K, Wollweber M, W eigand F, et al. Fibre Optic Sensors for the Structural Health Monitoring of Building Structures[J]. Procedia Technology, 2016: 524-529.
[8] 李宏男,李东升. 土木工程结构安全性评估、健康监测及诊断述评[J]. 地震工程与工程振动，2002（3）：82-90.
LI Hongnan，LI Dongsheng. Safety assessment, health monitoring and damage diagnosis for structures in civil engineering[J]. Earthquake Engineering and Engineering Vibration，2002（3）：82-90.
[9] Viera M A, De Aguiar P R, Junior P D, et al. Low-Cost Piezoelectric Transducer for Ceramic Grinding Monitoring[J]. IEEE Sensors Journal, 2019, 19(17): 7605-7612.
[10] Cahill P, Pakrashi V, Sun P, et al. Energy Harvesting Techniques for Health Monitoring and Indicators for Control of a Damaged Pipe Structure[J]. Smart Structures and Systems, 2018, 21(3): 287-303.
[11] Song G, Gu H, Mo Y L, et al. Smart aggregates: multi-functional sensors for concrete structures—a tutorial and a review[J]. Smart Materials and Structures, 2008, 17(3):033001.
[12] Feng Q, Cui J, Wang Q, et al. A feasibility study on real-time evaluation of concrete surface crack repairing using embedded piezoceramic transducers[J]. Measurement, 2017: 591-596.
[13] Jiang T, Kong Q, Peng Z, et al. Monitoring of Corrosion-Induced Degradation in Prestressed Concrete Structure Using Embedded Piezoceramic-Based Transducers[J]. IEEE Sensors Journal, 2017, 17(18): 5823-5830.
[14] Li W, Kong Q, Ho S C, et al. Feasibility study of using smart aggregates as embedded acoustic emission sensors for health monitoring of concrete structures[J]. Smart Materials and Structures, 2016, 25(11): 115031.
[15] Zou D, Du C, Liu T, et al. Effects of temperature on the performance of the piezoelectric-based smart aggregates active monitoring method for concrete structures[J]. Smart Materials and Structures, 2019, 28(3): 035016.
[16] 刘习军，商开然，张素侠等. 基于改进小波包能量的梁式结构损伤识别[J]. 振动与冲击，2016，35(13):179-185+200.
Liu Xi-jun, SHANG Kai-ran, ZHANG Su-xia, et al. Damage detection method for beam structures based on improved Wavelet Packet energy[J]. Vibration and impact，2016，35(13):179-185+200.
[17] 蒙彦宇. 压电智能传感-驱动器力学性能与应用[M]. 武昌：武汉大学出版社，2016.
MENNG Yan-yu. Mechanical Property and Application of Piezoelectric smart Sensor-actuator [M]. Wuchang: Wuhan University Press, 2016.