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Variability of unconfined compressive strength in relation to number of test samples

机译:无限制抗压强度与测试样品数量的关系

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摘要

Unconfined compressive strength is one of the most commonly used properties in rock engineering. Estimation or selection of an appropriate value of unconfined compressive strength for a given rock can be difficult as it can vary greatly within the same rock unit. Considering this large variability, unconfined compressive strength obtained by testing just a few samples is questionable. The purpose of this study was to investigate the variability of unconfined compressive strength for a given rock and, based on this information, determine the minimum number of samples required for obtaining a reliable value. Unconfined compressive strength values for approximately 50 NX-size (2.125 in./5.4 cm) core samples were determined for five different rock types. Statistical analyses were performed on subsets of cores to determine the minimum number of samples required to render a reliable estimate of the average strength of the entire set of cores. The results indicate that the minimum number of samples needed for strength determination depends on the statistical method used, the chosen confidence interval, and the acceptable deviation from the mean. For a 95% confidence interval and a 20% acceptable strength deviation from the mean, either 9 or 10 samples are needed to test for strength, depending on the statistical analysis used.
机译:无限制抗压强度是岩石工程中最常用的特性之一。给定岩石的无侧限抗压强度的合适值的估计或选择可能很困难,因为在同一岩石单元内其变化很大。考虑到这种巨大的可变性,仅通过测试几个样品而获得的无侧限抗压强度值得怀疑。这项研究的目的是调查给定岩石的无侧限抗压强度的变异性,并根据此信息确定获得可靠值所需的最小样本数。确定了五种不同岩石类型的大约50 NX尺寸(2.125英寸/5.4厘米)岩心样品的无侧限抗压强度值。对岩心的子集进行统计分析,以确定对整个岩心的平均强度进行可靠估计所需的最小样本数。结果表明强度确定所需的最小样本数取决于所使用的统计方法,所选的置信区间以及与均值的可接受偏差。对于95%的置信区间和相对于平均值的20%可接受的强度偏差,需要9或10个样本来测试强度,具体取决于所使用的统计分析。

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