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A preliminary study on the conversion factor used in the prediction of the UCS from the BPI for pyroclastic rocks

机译:BPI对火山碎屑岩UCS预测中使用的转换因子的初步研究

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摘要

Preparing desired smooth specimens from pyroclastic rocks is difficult and time consuming for some standard tests such as uniaxial compressive strength (UCS) test, since they are weak or soft rocks. For this reason, the development of some equations is important for predicting the UCS of pyroclastic rocks. A linear correlation was suggested for the prediction of UCS from block punch index (BPI) test for a wide range of rock in the literature. The UCS-BPI conversion factor for this correlation is 5.1. In this study, the relation between UCS and BPI was investigated for pyroclastic rocks. Twenty-eight different samples of pyroclastic rocks were collected from the Cappadocia Region of Turkey. The UCS and BPI tests were carried out on the oven-dried samples in the laboratory. The test results were analyzed using the method of least squares regression. The linear regression analysis showed that the UCS-BPI conversion factor for the tested rocks was 3.1. This value is fairly lower than the suggested value. On the other hand, the correlation coefficients of power law functions are higher than that of the linear functions. Concluding remark is that the UCS-BPI conversion factor for the pyroclastic rocks is lower than the suggested general conversion factor and the UCS-BPI relation is best represented by the power law function.
机译:对于某些标准测试(例如单轴抗压强度(UCS)测试),从火山碎屑岩中制备所需的光滑标本既困难又耗时,因为它们是软岩还是软岩。因此,一些方程的发展对于预测火山碎屑岩的UCS至关重要。在文献中,建议采用线性相关来预测大范围岩石的块冲头指数(BPI)测试得出的UCS。此相关性的UCS-BPI转换因子为5.1。在这项研究中,研究了火山碎屑岩中UCS和BPI之间的关系。从土耳其的卡帕多细亚地区收集了28种不同的火山碎屑岩样品。 UCS和BPI测试是在实验室中对烘干样品进行的。使用最小二乘回归法分析测试结果。线性回归分析表明,被测岩石的UCS-BPI转换因子为3.1。该值大大低于建议值。另一方面,幂律函数的相关系数高于线性函数的相关系数。结论是,火山碎屑岩的UCS-BPI转换因子低于建议的一般转换因子,并且UCS-BPI关系最好用幂律函数表示。

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