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李希, 张升, 盛岱超, 马新岩. 基于抽样可靠性的颗分试验取样数量研究[J]. 岩土工程学报, 2016, 38(11): 2122-2127. DOI: 10.11779/CJGE201611024
引用本文: 李希, 张升, 盛岱超, 马新岩. 基于抽样可靠性的颗分试验取样数量研究[J]. 岩土工程学报, 2016, 38(11): 2122-2127. DOI: 10.11779/CJGE201611024
LI Xi, ZHANG Sheng, SHENG Dai-chao, MA Xin-yan. Reasonable sample capacity for grain-size analysis tests based on sampling reliability[J]. Chinese Journal of Geotechnical Engineering, 2016, 38(11): 2122-2127. DOI: 10.11779/CJGE201611024
Citation: LI Xi, ZHANG Sheng, SHENG Dai-chao, MA Xin-yan. Reasonable sample capacity for grain-size analysis tests based on sampling reliability[J]. Chinese Journal of Geotechnical Engineering, 2016, 38(11): 2122-2127. DOI: 10.11779/CJGE201611024

基于抽样可靠性的颗分试验取样数量研究

Reasonable sample capacity for grain-size analysis tests based on sampling reliability

  • 摘要: 在确定工程现场粗粒料颗粒级配过程中,所取试样量大小是保证所得结果准确性及可靠性的决定性因素之一。结合抽样分析可靠性理论,提出了一种为确定粗粒料整体颗粒级配情况所需试样量的方法,发现颗粒总体含量、颗粒间尺寸差异性大小、精度要求是决定抽样量的3个因素。通过开展筛分试验,验证了方法的合理性,并将其应用于具体工程实践。所得结果可以为相关工程实践及规范的发展和完善提供参考。

     

    Abstract: In the process of determining particle size distribution in engineering fields, the sample capacity is one of determining factors to guarantee the accuracy and reliability of results. Combining with the theory of sampling reliability analysis, a theoretical method to determine the sample capacity is proposed and validated afterwards. It is found out that three indexes should be considered to obtain grading information of coarse aggregate: the total amount of particles, the degree of particle size difference, and the accuracy requirements. Besides, the proposed method may benefit engineering practice and specification perfection.

     

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