首页|预制出筋叠合板缺陷冲击回波频谱特征无损识别技术研究

预制出筋叠合板缺陷冲击回波频谱特征无损识别技术研究

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针对红外成像与超声波技术在识别出筋叠合板缺陷时存在的无损识别率低及缺陷参数识别不准确等问题,提出预制出筋叠合板缺陷冲击回波频谱特征的无损识别技术.分析冲击锤直径与冲击响应之间的线性关系,结合叠合板的结构参数对冲击波信号的传播路径与频率特性进行优化.根据优化结果分析冲击回波信号的时域与频域特征,通过优化时频特征识别算法,有效减少了频域中的干扰成分.利用小波技术对优化的时频特征进行分解,揭示了黏结质量对频谱图像及能量特征的具体影响规律.结果表明:提出的无损识别技术对于预制出筋叠合板缺陷的识别率均高于90%,最高可达96.2%,展现出优异的识别效率.研究成果可为预制出筋叠合板构件缺陷的无损检测提供有力的技术参考.
Research on Non Destructive Identification Technology of Impact Echo Spectral Characteristics of Defects in Prefabricated Reinforced Composite Plates
Aiming at the problems of low non-destructive identification rate and inaccurate identification of defect parameters in identifying defects in reinforced composite panels using infrared imaging and ultrasonic technology,a non-destructive identification technology based on the pre fabricated impact echo spectrum characteristics of reinforced composite panel defects is proposed.Analyze the linear relationship between the diameter of the impact hammer and the impact response,and optimize the propagation path and frequency characteristics of the shock wave signal by combining the structural parameters of the composite plate.Based on the optimization results,the time-domain and frequency-domain characteristics of the shock echo signal were received and analyzed in depth.By optimizing the time-frequency feature recognition algorithm,the interference components in the frequency domain were effectively reduced.By using wavelet technology to decompose the optimized time-frequency characteristics,the specific impact of bonding quality on spectral images and energy features was revealed.The results show that the proposed non-destructive identification technology has a recognition rate of over 90%for defects in prefabricated reinforced composite panels,with a maximum of 96.2%,demonstrating excellent recognition efficiency.The research results can provide powerful technical references for non-destructive testing of defects in prefabricated reinforced composite panel components.

impact echo methodnon destructive identification of defectsreinforced laminated platetime frequency domain characteristicswavelet decomposition

胡勇军

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广东碧桂园职业学院,广东 清远 511510

冲击回波法 缺陷无损识别 出筋叠合板 时频域特征 小波分解

2024

粉煤灰综合利用
河北省墙体材料革新办公室 石家庄市粉煤灰综合利用和墙改办公室

粉煤灰综合利用

CSTPCD
影响因子:0.378
ISSN:1005-8249
年,卷(期):2024.38(6)