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摘要自密实混凝土(SCC)的工作性能主要受其净浆流变参数的影响,流变参数由净浆的微型坍落扩展度实验结果计算获得。该文基于图像处理技术和智能手机平台,开发了净浆坍落扩展度测量工具。首先,在实验平板上放置预定义的标识;其次,利用图像处理技术和智能手机摄像功能记录净浆流动过程中的图像、时间以及各个时刻标识在图像中的位置信息;最后,利用透视原理和图像处理技术,计算出每帧图像对应的净浆扩展度值,进而得到净浆扩展度与时间的关系,提取相应数据计算该组净浆的流变参数。通过一系列的净浆微型坍落扩展度实验,对该测量工具进行了验证,结果表明:该测量工具可以准确地计算出净浆扩展度和流动时间,与现有方法测量结果一致,适用于净浆微型坍落扩展度实验,为净浆流变参数的获取提供了简便、实用的工具。 |
关键词 :自密实混凝土,净浆,微型坍落扩展度实验,图像处理,智能手机 |
Abstract:The workability of self-compacting concrete (SCC) is mainly affected by the SCC formulated paste rheological parameters. The paste rheological parameters are obtained from relative mini-slump flow tests. A mini-slump flow measurement tool was developed based on image processing for use on smart phones. First, a predefined mark is placed on the surface of the test plate. Then, the paste spread is imaged over time with the positions of the mark in the images recorded by the smart phone camera found by image processing. Every image of the tests is analyzed to calculate the relative mini-slump flow. The mini-slump flow rate is then calculated with the rheological parameters. The tool was evaluated using a series of mini-slump flow tests. The results show that the mini-slump flow times calculated by the tool are accurate and are nearly the same as those given by the standard method. Thus, this tool is a convenient, effective tool for mini-slump flow tests to obtain the rheological parameters of the paste. |
Key words:self-compacting concretepastemini-slump flow testimage processingsmart phones |
收稿日期: 2016-02-02 出版日期: 2016-12-20 |
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通讯作者:安雪晖,教授,E-mail:anxue@tsinghua.edu.cnE-mail: anxue@tsinghua.edu.cn |
[1] | Wu Q, An X. Development of a mix design method for SCC based on the rheological characteristics of paste[J]. Constr Build Mater, 2014, 53:642-651. |
[2] | Roussel N, Stefani C, Leroy R. From mini-cone test to abrams cone test:Measurement of cement-based materials yield stress using slump tests[J]. Cem Concr Res, 2005, 35(5):817-822. |
[3] | Chidiac S E, Maadani O, Razaqpur A G, et al. Controlling the quality of fresh concrete-A new approach[J]. Mag Concr Res, 2000, 52(5):353-363. |
[4] | 吴琼. 基于净浆流变性的自密实混凝土配合比设计方法研究[D]. 北京:清华大学, 2014.WU Qiong. The Development of Mix Design Method for Self-compacting Concrete Based on the Rheological Characteristics of Paste[D]. Beijing:Tsinghua University, 2014. (in Chinese) |
[5] | Tregger N, Ferrara L, Shah S P. Identifying viscosity of cement paste from mini-slump-flow test[J]. ACI Materials Journal, 2008, 105(6):558-566. |
[6] | 沈乔楠. 堆石混凝土施工管理中视觉信息的处理方法及应用研究[D]. 北京:清华大学, 2010. SHEN Qiaonan. Study on the Processing Method and Application of Visual Information in Rock-filled Concrete Construction Management[D]. Beijing:Tsinghua University, 2010. (in Chinese) |
[7] | 李书阳, 沈乔楠, 安雪晖, 等. 基于增强现实的混凝土坍落扩展度测量[J]. 清华大学学报(自然科学版), 2012, 52(6):809-813. LI Shuyang, SHEN Qiaonan, AN Xuehui, et al. Slump flow measurements based on augmented reality[J]. J Tsinghua Univ (Sci & Tech), 2012, 52(6):809-813. (in Chinese) |
[8] | 丁金铸. 基于图像处理的运动目标检测跟踪系统的设计与实现[D]. 武汉:华中师范大学, 2007.DING Jinzhu. The Design and Implementation of Moving Object Detection and Tracking System Based on Image Processing[D]. Wuhan:Central China Normal University, 2007. (in Chinese) |
[9] | Niu Y. Discussion about perspective transform[J]. J Computer Aided Design & Computer Graphics, 2001, 13(6):549-551. |
[10] | 胡东红, 汪浩, 艾君, 等. 两种图像校正算法在实际应用中的比较[J]. 计算机工程与应用, 2009, 45(13):191-193.HU Donghong, WANG Hao, AI Jun, et al. Comparisons of two kinds of image rectification algorithms[J]. Computer Engineering and Applications, 2009, 45(13):191-193. (in Chinese) |
[11] | 中国工程建设标准化协会203-2006. 自密实混凝土应用技术规程[S]. 北京:中国计划出版社, 2006.CECS 203-2006. Technical Specifications for Self Compacting Concrete Application[S]. Beijing:China Planning Press, 2006. |
[12] | 李书阳. 基于视觉信息的自密实混凝土工作性能评价方法研究[D]. 北京:清华大学, 2013. LI Shuyang. Research on Workablilty Evaluation of Self-compacting Concrete Based on Visual Informaton[D]. Beijing:Tsinghua University, 2013. (in Chinese)" |