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Prediction with Fuzzy Logic Approach of Compressive Strength of Concrete Containing of Normal and Crushed Stone Aggregates

机译:含正,碎石骨料混凝土抗压强度的模糊逻辑预测

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This study assays the detection of concrete compressive strength values using Fuzzy Logic (FL) in comparison with the compressive strengthvalues obtained from TUBITAK-supported research which measured compressive strength values of concrete at specific curing periods andproduced with various mixes. The detection of the compressive strength of formed concrete is a time-consuming process. Especially whenmixture values are considered, a large number of alternatives must be considered. Therefore, the determination of the proportions and quantitiesof materials in a mixture and the effects of these on concrete strength are significant concerns in the fields of civil engineering and architecture.In practice, compressive strength has generally been measured by breaking concrete formed using alternative mixtures produced via aggregatestaken from different places at the end of 3, 7, 14, 28, 56 and 90 days. It is now possible, however, to undertake these time-consuming and difficulttasks by means of computer science. To this end, a model is suggested to obtain compressive strength values via a fuzzy logic approach,and the compressive strength value results of that approach are compared to the laboratory results from the TUBITAK study, with the resultthat the data obtained via FL are shown to overlap the existing data.
机译:这项研究与由TUBITAK支持的研究获得的抗压强度值相比,使用模糊逻辑(FL)来分析混凝土的抗压强度值,该研究通过测量特定养护期间混凝土的抗压强度值并使用各种配合比得出。检测成型混凝土的抗压强度是一个耗时的过程。特别是在考虑混合值时,必须考虑大量替代方案。因此,确定混合物中材料的比例和数量以及它们对混凝土强度的影响是土木工程和建筑领域中的重要问题。在实践中,通常通过破坏使用生产的替代混合物形成的混凝土来测量抗压强度。通过在3天,7天,14天,28天,56天和90天结束时从不同地方聚集的数据。但是,现在有可能通过计算机科学来承担这些耗时且困难的任务。为此,建议使用一个模型来通过模糊逻辑方法获得抗压强度值,并将该方法的抗压强度值结果与TUBITAK研究的实验室结果进行比较,结果表明通过FL获得的数据可以与现有数据重叠。

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