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Evaluation of Dynamic Image Analysis for Characterizing Granular Soils

机译:表征粒状土壤动态图像分析的评价

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摘要

This study investigates the efficacy of dynamic image analysis (DIA) for determining particle size and shape distribution. The method employs a high-frame-rate camera to image individual particles of sand that have been transported and separated using a stream of pressurized air. DIA can generate both particle size and shape information and provides a quantitative statistical description of the grain size and shape distribution within the specimen. The feasibility, repeatability, and accuracy of DIA for routine analysis of particle size and shape distribution was investigated using 16 granular soils spanning a number of common sizes and shapes. Several particle shape descriptors were evaluated, including aspect ratio, convexity, and sphericity. The effect of a variety of test parameters including moisture content, sample weight, primary air pressure, and test duration were explored to determine the optimal specimen weight and equipment settings for DIA. Finally, the efficacy of DIA in resolving mixtures of fine and coarse sands was also explored. The method proved to be feasible, repeatable, and accurate for providing particle size distributions spanning four orders of magnitude, in terms of particle size. DIA offers a number of advantages; the method is quick, requires small specimen sizes, and provides quantitative information on approximately 3-4 % of the particles in the specimen.
机译:该研究研究了动态图像分析(Dia)来确定粒径和形状分布的功效。该方法采用高帧速率相机,以使用加压空气流被运输和分离的单独的沙子颗粒。 DIA可以产生粒度和形状信息,并提供样品中的晶粒尺寸和形状分布的定量统计描述。使用跨越多种常见尺寸和形状的16个粒状土对Dia的可行性,可重复性和准确性分析进行常规分析。评估几种粒子形状描述符,包括纵横比,凸起和球形。探讨了各种试验参数,包括水分含量,样品重量,初级空气压力和测试持续时间的效果,以确定DIA的最佳试样重量和设备设置。最后,还探讨了DIA解决精细和粗砂混合物中的疗效。该方法证明是可行,可重复的,准确地提供跨粒度跨越四个数量级的粒度分布。 DIA提供许多优点;该方法很快,需要小样本尺寸,并提供关于样本中约3-4%的颗粒的定量信息。

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