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作 者:王冠 高鸿波[1] 王志刚 王海涛 石文泽[1] 李秋锋[1] WANG Guan;GAO Hongbo;WANG Zhigang;WANG Haitao;SHI Wenze;LI Qiufeng(Key Laboratory of Nondestructive Testing(Ministry of Education),Nanchang Hangkong University Nanchang,330063,China;Nanchang Architecture Science Institute Nanchang,330029,China;The Second construction Co.,Ltd.of China Construction First Group Beijing,102600,China)
机构地区:[1]南昌航空大学无损检测技术教育部重点实验室,南昌330063 [2]南昌市建筑科学研究所,南昌330029 [3]中建一局集团第二建筑有限公司,北京102600
出 处:《振动.测试与诊断》2024年第6期1127-1134,1246,共9页Journal of Vibration,Measurement & Diagnosis
基 金:国家自然科学基金资助项目(11764030,12364056);江西省主要学科和技术带头人计划资助项目(20204BCJL22039);江西省自然科学基金重点资助项目(20212ACB204014)。
摘 要:为了进一步提高混凝土检测信噪比及成像分辨力,提出一种基于数字补偿滤波的超声阵列全聚焦成像技术。首先,针对低频超声探头频率响应所造成的检测信号出现的振铃影响,采用数字补偿滤波的方法对检测信号进行补偿校正,提高信噪比;其次,用补偿滤波后的检测信号建立全数据矩阵,并采用全聚焦算法进行结构成像;最后,根据信号特征校正缺陷与底面位置,获得高质量结构成像图。与未经过数字补偿滤波的成像结果相比,检测信号经过数字补偿滤波后,成像图中的伪像数量与面积大幅减少,缺陷和底面更加突出,缺陷处信噪比提高了9.6 dB,缺陷的定位更准确,能够满足工程检测要求。In order to further improve the signal-to-noise ratio and imaging resolution of concrete detection,an ultrasonic array total focusing imaging technology based on digital compensation filtering is proposed here.Firstly,in response to the ringing effect of the detection signal caused by the frequency response of the lowfrequency probes,digital compensation filtering is used for compensating the detection signal to improve the signal-to-noise ratio.The detection signal after compensation filtering is used to establish a full matrix capture,and the total focusing algorithm is used for structural imaging.Finally,according to the signal characteristics,the defects and bottom position are corrected and high-quality structural imaging results are obtained.Compared with the imaging results without digital compensation filtering,the number and area of artifacts in the imaging results are greatly reduced after digital compensation filtering,the defects and the bottom position are more prominent,the signal-to-noise ratio at the defect is increased by 9.6 dB and the location of defects is more accurate,which can meet engineering detection requirement.
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