传感技术学报2026，Vol.39Issue(1)：16-25,10.DOI:10.3969/j.issn.1004-1699.2026.01.003
基于压电智能骨料的微粒混凝土板裂缝监测研究
Crack Monitoring Study of Micro-Concrete Slab Based on Piezoelectric Smart Aggregate
摘要
Abstract
Based on the wave propagation method,the sensing performance and maximum damage identification depth of piezoelectric smart aggregates in crack monitoring of micro-concrete slabs are investigated.Five micro-concrete slabs are designed with different pro-tective layer distance L(the distance between the center of the piezoelectric smart aggregates and the right edge of the slab),and two smart aggregates are embedded in the slabs as actuator and sensor,respectively.A sinusoidal swept frequency signal of 1 kHz～5 kHz is used as the driving signal,the damage of the specimens is simulated through the cut crack,and the sensing signals are subjected to the time-frequency and wavelet-packet analyses.The results show that the time-domain signal amplitude,the frequency-domain signal power spectral density and the damage index I based on wavelet packet analysis are very sensitive to the crack damage of the micro-concrete structure,and the damage extent of the structure can be understood by observing the trend of these three indexes.The protection layer distance L affects the sensitivity of the piezoelectric sensors in receiving the damage signals of the micro-concrete.Finally,the formula for calculating the maximum damage identification depth is fitted according to the experimental results,which provides a reference for the optimal deployment of the piezoelectric sensors.关键词
健康监测/压电智能骨料/微粒混凝土/应力波/小波包分析Key words
health monitoring/piezoelectric smart aggregate/micro-concrete/stress wave/wavelet packet analysis分类
信息技术与安全科学引用本文复制引用
陈育,胡少伟,田锌如,王耀民..基于压电智能骨料的微粒混凝土板裂缝监测研究[J].传感技术学报,2026,39(1):16-25,10.基金项目
国家自然科学基金重点项目(52130901) （52130901）
重庆市创新研究群体科学基金项目(cstc2020jcyj-cxttX0003) （cstc2020jcyj-cxttX0003）
国家重点研发计划项目(2022YFC3004400) （2022YFC3004400）
