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作 者:赵建国 徐浩 李萌晓 王辰宇 ZHAO Jian-guo;XU Hao;LI Meng-xiao;WANG Chen-yu(School of Civil Engineering&Architecture,Wuhan Polytechnic University,Wuhan 430023,China;School of Environmental Science&Engineering,Tianjin University,Tianjin 300072;School of City,Shandong Vocational University of Foreign Affairs,Weihai 264504,China)
机构地区:[1]武汉轻工大学土木工程与建筑学院,湖北武汉430023 [2]天津大学环境科学与工程学院,天津300072 [3]山东外事职业大学城市学院,山东威海264504
出 处:《河南城建学院学报》2024年第2期35-42,共8页Journal of Henan University of Urban Construction
摘 要:为解决半无限地域钢筋混凝土结构无损检测及空腔与钢筋波场相互干扰的问题,提出了梳状检波点全方向特征分析的低频超声波定量无损检测方法。首先引入了无限元人工边界,探索了边界尺寸对脉冲信号的衰减影响,然后提取了低频超声波在钢混结构中的全方向波场特征,通过特征反射时长确定空腔位置与尺寸。结果显示,所提方法可以有效减少边界反射波场带来的不利影响,降低噪点分贝,有利于时域信号的波场特征分析。对空腔钢筋的混凝土板进行空腔位置及尺寸的判定,误差分别为0.75%和2.0%,表明该方法不仅可以消除在结构材料与缺陷堆叠情况下的信号盲区,同时避免了特殊情况下斜入射震源的激发不便,实现了准确高效的缺陷检测。To address the problem of non-destructive testing and the interference between voids and rebar wave fields in semi-infinite reinforced concrete structures,a low-frequency ultrasonic quantitative non-destructive testing method based on comb-shaped detection points and omnidirectional feature analysis is proposed.Firstly,an infinite element artificial boundary is introduced to explore the influence of boundary size on the attenuation of pulse signals.Then the omnidirectional wave field characteristics of low-frequency ultrasonic waves in the steel-concrete structure are extracted,and the cavity position and size are determined by the characteristic reflection duration.The results show that the proposed method can effectively reduce the adverse effects of boundary reflection wave fields,reduce noise levels,and facilitate the wave field feature analysis of time-domain signals.The determination errors for the cavity position and size in the cavity reinforced concrete plate are 0.75%and 2.0%,respectively,indicating that this method can not only eliminate signal blind spots in the stacking of structural materials and defects but also avoid the inconvenience of exciting oblique incident sources in special cases,achieving efficient and accurate defect detection.
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