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首页> 外文期刊>Advances in Engineering Software >Expert system applied for classifying self-compacting concrete surface finish
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Expert system applied for classifying self-compacting concrete surface finish

机译:专家系统用于对自密实混凝土表面光洁度进行分类

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This paper presents an expert system that was developed with the goal of classifying the surface finish of self-compacting concrete (SCC) precast elements. The classification concerns the presence of bugholes, which are imperfections that appear on a concrete surface after demoulding. The surface evaluation is based on digital images that are processed by an image analysis tool. This tool defines the parameters that will be evaluated by a fuzzy logic-based classification tool. The classification is based on a novel scale that considers the degree of treatment necessary to achieve proper surface finish. The proposed system was applied to evaluate SCC precast elements. The results from the case study highlight the success of the proposed expert system in evaluating SCC finish. In addition, the system proved to be of great help when used for systematic analyses of the effect of mixture proportions on surface quality.
机译:本文介绍了一个专家系统,其目的是对自密实混凝土(SCC)预制构件的表面光洁度进行分类。分类涉及漏洞的存在,漏洞是脱模后出现在混凝土表面的缺陷。表面评估基于图像分析工具处理的数字图像。此工具定义将由基于模糊逻辑的分类工具评估的参数。该分类基于一种新颖的等级,该等级考虑了实现适当的表面光洁度所需的处理程度。所提出的系统被应用于评估SCC预制元件。案例研究的结果凸显了所建议的专家系统在评估SCC涂饰方面的成功。此外,当用于系统分析混合物比例对表面质量的影响时,该系统被证明具有很大的帮助。

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