论文部分内容阅读
完整岩块的单轴抗压强度(UCS)和弹性模量(E)是岩石力学和地质工程中极其重要的指标,高质量的岩芯试件是获取UCS和E值的关键因素,但由于龙门山地区地形复杂及震后交通不便,并不总能从彭灌杂岩体中获取高质量岩芯试件。因此,为了快速获取彭灌杂岩体的UCS和E值,沿岷江和渔子溪采集了53组彭灌杂岩岩块,并于室内作了一系列物理力学测试。以实测UCS和E值为因变量,以岩块的密度、Schmidt回弹硬度及地质强度指数为自变量,建立了彭灌杂岩体UCS和E值的多元线性回归预测模型。经F-检验、t-检验及其回归系数方差膨胀因子(VIF)、Durbin-Watson统计量的计算结果表明,回归模型的自变量选取得当,对因变量UCS和E具有影响,回归模型具有适用性。同时,UCS和E回归模型调整后判定系数R珔2的计算结果表明,所建立的彭灌杂岩体多元线性回归模型具有较高的预测性能,可用于彭灌杂岩体UCS和E的现场快速确定。
Uniaxial compressive strength (UCS) and elastic modulus (E) of intact rock mass are extremely important indexes in rock mechanics and geology engineering. High quality core specimen is the key factor to obtain UCS and E value. However, Due to the complex terrain and traffic inconvenience after the earthquake, it is not always possible to obtain high-quality core samples from the Peng-Fang complex. Therefore, in order to quickly obtain the UCS and E values of Peng-Gon complex, 53 groups of Peng-Gonite blocks were collected along the Minjiang River and Yuzizi and a series of physical and mechanical tests were conducted indoors. Based on the measured UCS and E values as the dependent variable, the multivariate linear regression prediction model of UCS and E values of the Peng-GANG complex was established based on the density of rock mass, Schmidt’s rebound hardness and the geologic intensity index as independent variables. The results of F-test, t-test and VIF and Durbin-Watson statistic show that the regression model is properly chosen and the dependent variables UCS and E have an impact. The regression model has applicability. At the same time, the calculated result of the adjusted coefficient R 珔 2 of UCS and E regression model shows that the multivariate linear regression model of the Peng-GANG complex with high prediction performance can be used in the field of UCS and E Quickly determine.