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A Simple Test Method for Rapid Measurement of Fines Content in Soils

机译:快速测量土壤中细粉含量的简单测试方法

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Visual soil classification methods used for estimating fines content are often relied upon in geotechnical investigations. The estimations of these methods are highly judgmental, generally erratic, and typically necessitate a confirmation. Laboratory mass-based wash tests are regularly performed on selected soil samples in order to verify or complement in situ visual classifications. Therefore, there is a dire need to improve the accuracy of fines content estimates of the visual methods. A preliminary study was conducted to assess the principle of estimating fines content by measuring relative volumes of the coarse-grained to fine-grained soil fractions. The results indicated soundness and adequacy of the principle. Utilizing this volume-based concept and the standard sample washing methods, a pilot study was conducted to develop and evaluate a more precise testing method, the mold test. Triplicate test runs were carried out on 144 soil samples. With run times of 5 to 15 min, the test is sufficiently rapid. The estimated fines contents of the samples were compared with that determined by the ASTM D1140 test. The absolute differences between the two estimates fell within ±5% range, which is an appreciably higher accuracy than those of commonly used visual soil classification methods. Analysis performed on the results of the pilot study attested statistical competences of the proposed test method. This study has proven that the mold test is convenient for measuring fines content in soils at almost no cost-except minor consumables. The test method eliminates the subjectivity associated with current visual classification tests as well as the time and cost of the standard laboratory wash tests. While it is not intended to be a substitute for the latter, the mold test is an economically viable option that maintains balance between laboratory accuracy and practicality of the field methods.
机译:在岩土工程研究中通常使用可视化的土壤分类方法来估算细粉含量。这些方法的估计是高度判断性的,通常是不稳定的,并且通常需要确认。定期对选定的土壤样品进行基于实验室质量的洗涤测试,以验证或补充原位的视觉分类。因此,迫切需要提高视觉方法的细粉含量估算的准确性。进行了初步研究,以通过测量粗粒土与细粒土的相对体积来评估估算细粒含量的原理。结果表明该原理的合理性和充分性。利用基于体积的概念和标准的样品清洗方法,进行了初步研究,以开发和评估更精确的测试方法,即模具测试。对144个土壤样品进行了三次重复测试。运行时间为5到15分钟,测试足够快速。将样品的估计细粉含量与通过ASTM D1140测试确定的细粉含量进行比较。两次估算之间的绝对差落在±5%的范围内,这比常用的可视土壤分类方法的准确性高得多。对初步研究结果进行的分析证明了所提出测试方法的统计能力。这项研究已经证明,霉菌试验可方便地几乎免费地测量土壤中的细粉含量,除了少量消耗品外。该测试方法消除了与当前视觉分类测试相关的主观性以及标准实验室清洗测试的时间和成本。尽管不能替代后者,但模具测试是一种经济可行的选择,可以在实验室精度和现场方法的实用性之间保持平衡。

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