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基于数字图像技术的UHPC-NC界面特征识别及粘结性能研究OA北大核心

UHPC-NC Interface Feature Recognition and Bonding Performance Based on Digital Image Technology

中文摘要英文摘要

为更加准确分析超高性能混凝土-普通混凝土(UHPC-NC)界面特征对粘结强度的影响,本文基于数字图像技术实现对基底表面三维特征信息的定量化表征,研究了不同基底表面粗糙度与粗骨料面积对界面粘结强度的影响.结果表明:基底表面粗糙度和粗骨料面积之间存在较强的相关性,获得的轮廓算术平均偏差Ra和标准偏差Std与粗骨料面积Sc之间的相关系数分别为0.838和0.855,基底表面粗糙度随着粗骨料面积的增加而增加;基底表面进行高压水射流处理界面组试件的失效荷载相较于光滑界面组试件提升了 143.0%~240.0%,同时高压水射流处理界面组试件可以获得53.4%~89.6%整体试件的失效荷载;NC基底表面特征是影响界面粘结强度的关键性因素,基底表面粗糙度特征参数轮廓算术平均偏差Ra、标准偏差Std和粗骨料面积Sc与界面粘结强度之间呈正相关,相关系数分别为0.935、0.927和0.959,界面粘结强度随着基底表面粗糙度和粗骨料面积的增加而增加.

In order to more accurately analyze the influences of ultra high performance concrete-normal concrete(UHPC-NC)interface features on bonding strength,this paper quantitatively characterized the three-dimensional feature information of the substrate surface based on digital image technology,and studied the influences of different substrate surface roughness and coarse aggregate area on the interface bonding strength.The results indicate that there is a strong correlation between the substrate surface roughness and the area of coarse aggregate,and the correlation coefficients between the contour arithmetic mean deviation Ra and standard deviation Std of the obtained profiles and the coarse aggregate area Sc are 0.838 and 0.855,respectively.The substrate surface roughness increases with the increase of coarse aggregate area.The failure load of the interface group specimen treated with high-pressure water jet on the substrate surface increases by 143.0%to 240.0%compared to the smooth interface group specimen,while the high-pressure water jetting treatment interface group specimen could obtain 53.4%to 89.6%of the overall specimen failure load.The surface characteristics of NC substrate are key factors affecting the interface bonding strength.The characteristic parameters of the substrate surface roughness,the profile arithmetic mean deviation Ra,standard deviation Std and coarse aggregate area Sc,are positively correlated with the interface bonding strength,and their correlation coefficients are 0.935,0.927 and 0.959,respectively.The interface bonding strength increases with the increase of substrate surface roughness and coarse aggregate area.

张江江;孙文;鲜雪蕾;李瑞泽;展淑敏;王甲泽

兰州交通大学土木工程学院,兰州 730070兰州交通大学土木工程学院,兰州 730070新疆石河子职业技术学院水利建筑工程学院,石河子 832000兰州交通大学土木工程学院,兰州 730070兰州交通大学土木工程学院,兰州 730070兰州交通大学土木工程学院,兰州 730070

水利科学

UHPC-NC数字图像技术特征识别定量化表征粘结强度

UHPC-NCdigital image technologyfeature recognitionquantitative characterisationbonding strength

《硅酸盐通报》 2025 (1)

81-89,9

国家自然科学基金(51868041,52360031,22JR5RA338)

10.16552/j.cnki.issn1001-1625.2024.0817

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