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On-site Concrete Segregation Estimation Using Image Analysis

机译:基于图像分析的现场混凝土偏析估计

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摘要

Segregation remains one of the major problems for traditional and self-compacting concrete.The consequences of this pathology are numerous and may affect the long-term properties of the structures.In order to ensure the expected char-acteristics of the concrete,it is essential to be able to check its homogeneity.rnSome tests allow the checking of the fresh concrete properties at the concrete mixing plant,but there is at the present time no method to assess concrete segregation on site.rnThe development of a quick and low disturbance method allowing quantification of the segregation phenomenon auto-matically within structures constitutes an advance in the pathology detection area.The method presented here relies on the use of geoendoscopy and automatic image processing techniques.After a short presentation of the tools and the aus-cultation methodology,the image processing techniques developed in'order to measure the concrete homogeneity and to control the concrete particle size distribution are exposed.Results obtained with this methodology in laboratory experi-ments are then compared with those obtained with the traditional video counting technology.Finally,the last part is devoted to the application of this method to a real self-compacting concrete structure.
机译:偏析仍然是传统和自密实混凝土的主要问题之一。这种病态的后果众多,并可能影响结构的长期性能。为了确保混凝土的预期特性,这是必不可少的为了能够检查其均质性。rn一些测试可以检查混凝土搅拌站的新鲜混凝土性能,但目前尚无评估现场混凝土偏析的方法。在结构中自动隔离现象的定量化构成了病理检测领域的一项进步。这里介绍的方法依赖于地球内窥镜和自动图像处理技术的使用。在简短介绍了工具和听诊方法之后,图像处理技术的发展是为了测量混凝土的均匀性并控制混凝土的粒度分布然后将这种方法在实验室实验中获得的结果与传统视频计数技术所获得的结果进行比较。最后,最后一部分致力于将该方法应用于真正的自密实混凝土结构。

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