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作 者:李军伟 徐飞 王兵[3] 高阳[1] LI Junwei;XU Fei;WANG Bing;GAO Yang(Key Laboratory of Large Structure Health Monitoring and Control,Shijiazhuang Tiedao University,Shijiazhuang 050043,Hebei,China;School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,Sichuan,China;School of Civil Engineering and Mechanics,Yanshan University,Qinhuangdao 066004,Hebei,China)
机构地区:[1]石家庄铁道大学河北省大型结构健康诊断与控制实验室,河北石家庄050043 [2]西南交通大学土木工程学院,四川成都610031 [3]燕山大学建筑工程与力学学院,河北秦皇岛066004
出 处:《山东大学学报(工学版)》2021年第5期84-90,共7页Journal of Shandong University(Engineering Science)
基 金:中国科协青年人才托举工程(2018QNRC001);国家自然科学基金资助项目(51808359);河北省自然科学基金资助项目(E2019210356);中国博士后科学基金面上资助项目(2019M663553);石家庄铁道大学研究生创新资助项目(CXZZBS2021115);中国铁路总公司科技研究开发计划课题(K2018G013)。
摘 要:利用声发射技术对不同骨料粒径的混凝土试件进行断铅试验。探究不同骨料粒径对声发射检测混凝土材料定位精度、声速标定、时间参数设定的影响和最优传感器布置方式的选取。结果表明:骨料是影响声发射检测精度的主要因素之一,骨料粒径每增大5 mm,声速下降7.5%;骨料粒径每增大5 mm,上升时间下降3.5%左右,且最大上升时间不超过200μs;进行"多次多点"测试能合理的确定最优传感器布置方式并有效减小定位误差,但不能消除误差。The lead breaking test of concrete specimens with different aggregate sizes was carried out by using acoustic emission technology. The influences of different aggregate particle sizes on the positioning accuracy, sound velocity calibration and time parameter setting of acoustic emission detection concrete materials and the selection of the optimal sensor layout were investigated. The results showed that aggregate was one of the main factors affecting the accuracy of acoustic emission detection. When the aggregate particle size increased 5 mm, the sound velocity decreases by 7.5%. When the aggregate particle size increased 5 mm, the rise time decreased about 3.5%, and the maximum rise time is not more than 200 μs. Perform “multi-multi-point” tests could reasonably determine the optimal sensor arrangement and effectively reduce the positioning error, but it couldn’t eliminate the error.
分 类 号:TU528.1[建筑科学—建筑技术科学]
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