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基于彩色数字图像技术的粗集料松方密实方法选择 被引量:4

Selection of Coarse Aggregate Loose Square Compaction Method Based on Color Digital Image Technology
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摘要 为确保沥青混合料集料骨架结构的形成,需要找到一种与路面沥青混合料相近的粗集料密实成型方法。基于彩色阈值分割技术,准确提取粗集料颗粒,根据颗粒的积聚状态特点,利用粗颗粒长轴与X轴正方向的夹角角度为评价指标,研究振实、捣实和旋转压实3种粗集料密实方法的粗集料堆积形态,并与沥青混合料试件粗颗粒长轴夹角进行对比。结果表明:基于彩色图像处理技术,避免了大颗粒被判断为小颗粒的误差,保证全部粗集料颗粒均被有效提取。捣实法粗集料夹角明显小于沥青混合料试件统计结果,粗集料松方振实法与沥青混合料试件颗粒长轴夹角统计结果数据最为接近,与捣实和旋转压实相比,是一种更为准确的粗集料密实方法。 In order to ensure the formation of aggregate skeleton structure of asphalt mixture,a coarse aggregate compaction forming method,which is similar to that of pavement asphalt mixture,is necessary.Based on color threshold segmentation technology,the coarse aggregate particles are extracted accurately.According to the characteristic of particle accumulation,taking the angle between long axis of coarse particles and the X-axis as the evaluation index,the accumulation forms of coarse aggregate under vibrating,tamping and gyratory compaction methods are studied,and compared with the long axis angle of coarse particles in asphalt mixture specimen. The result shows that( 1) the color image processing technology can avoid the error that large particles judged to be small particles,and all coarse aggregate particles are effectively extracted;( 2) the coarse aggregate angle of tamping compaction is obviously less than that of the statistical result of asphalt mixture specimen,the result from loose square compaction method for coarse aggregate is theclosest to the statistical data of asphalt mixture specimen particle long axis angle,it is a more accurate method for compacting coarse aggregate compared with tamping and gyratory compaction methods.
作者 万成 徐科 张肖宁 易强 WAN Cheng XU Ke ZHANG Xiao-ning YI Qiang(Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning Guangxi 530004, China Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Nanning Guangxi 530004, China Guangdong Provincial Changda Highway Engineering Co, , Ltd. , Guangzhou Guangdong 511431, China School of Civil Engineering and Transportation, South China University of Technology, Guangzhou Guangdong 510640, China)
出处 《公路交通科技》 CAS CSCD 北大核心 2017年第2期56-61,共6页 Journal of Highway and Transportation Research and Development
基金 国家自然科学基金项目(51568007 51378224 51208212) 广西自然科学基金项目(2015GXNSFBA139217) 广西重点实验室系统性研究项目(2016ZDX0) 广西交通科技计划项目(桂AC16380107)
关键词 道路工程 松方密实 彩色数字图像技术 粗集料 颗粒 road engineering loose square compaction color digital image technology coarse aggregate particle accumulation
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