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Evaluating the settlement of lightweight coarse aggregate in self-compacting lightweight concrete

机译:评价自密实轻质混凝土中轻质粗骨料的沉降

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The purpose of this paper is to evaluate the settlement of lightweight coarse aggregate of self-compacting lightweight concrete (SCLC) after placement of concrete on its fmal position. To investigate this issue, sixteen samples of concrete mixes were made. The water to cementitious materials ratios of the mixes were 0.35 and 0.4. In addition to the workability tests of self-compacting concrete (SCC) such as slump flow, V-funnel and L-box tests, a laboratory experiment was made to examine the segregation of lightweight coarse aggregate in concrete. Because of the difficulties of this test, the image processing technique of MATLAB software was used to check the segregation above too. Moreover, the fuzzy logic technique of MATLAB software was utilized to improve the clarity of the borders between the coarse aggregate and the paste of the mixtures. At the end, the results of segregation tests and software analyses are given and the accuracy of the software analyses is evaluated. It is worth noting that the minimum and maximum differences between the results of laboratory tests and software analyses were 1.2% and 9.19% respectively. It means, the results of image processing technique looks exact enough for estimating the segregation of lightweight coarse aggregate in SCLC.
机译:本文的目的是评估将混凝土置于最终位置后,自密实轻质混凝土(SCLC)的轻质粗骨料的沉降。为了调查这个问题,制作了十六个混凝土混合物样本。混合物的水与胶凝材料之比为0.35和0.4。除了自密实混凝土(SCC)的可使用性测试(如坍落度试验,V型漏斗和L型箱试验)之外,还进行了实验室实验,以检查轻质粗骨料在混凝土中的偏析。由于该测试的困难,因此也使用MATLAB软件的图像处理技术来检查上述偏析。此外,利用MATLAB软件的模糊逻辑技术来提高粗骨料和混合物糊料之间边界的清晰度。最后,给出了隔离测试和软件分析的结果,并评估了软件分析的准确性。值得注意的是,实验室测试结果与软件分析结果之间的最小差异和最大差异分别为1.2%和9.19%。这意味着,图像处理技术的结果看起来足够精确,可以估计SCLC中轻质粗骨料的偏析。

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