Occasionally, in complex inherent characteristics of certain rocks, especially anisotropic rocks it may be difficult to measure the uniaxial compressive strength UCS. However, the use of empirical relationships to eva...Occasionally, in complex inherent characteristics of certain rocks, especially anisotropic rocks it may be difficult to measure the uniaxial compressive strength UCS. However, the use of empirical relationships to evaluate the UCS of rock can be more practical and economical. Consequently, this study carried out to predict UCS from microfabrics properties of banded amphibolite rocks using multiple regression analysis. Based on statistical results, rock microfabric parameters, which adequately represent the UCS of a given rock type have been selected. The results show that grain size, shape factor and quartz content have high significant correlation with UCS at 95% confidence level. From multiple regression model, approximately 84% of the variance of the UCS can be estimated by the linear combination of these three parameters. However, according to model performance criteria: correlation coefficient (R = 0.919), variance account for (VAF = 97%) and root mean square error (RMSE = 4.16) the study clearly indicates that the developed model is reliable to predict the UCS. Finally, this approach can be easily extended to the modeling of rock strength in the absence of adequate geological information or abundant data.展开更多
针对湖南省四种不同塑性指数(PI)的路基软土,在控制无侧限抗压强度(UCS)为350 k Pa和700k Pa的条件下,研究了采用粉煤灰、石灰、水泥三种无机结合料进行改良的配比组合方案,并对改良土进行了循环加载试验以评价其动力性能(如回弹模量和...针对湖南省四种不同塑性指数(PI)的路基软土,在控制无侧限抗压强度(UCS)为350 k Pa和700k Pa的条件下,研究了采用粉煤灰、石灰、水泥三种无机结合料进行改良的配比组合方案,并对改良土进行了循环加载试验以评价其动力性能(如回弹模量和累积塑性应变)。研究结果表明,各种结合料组合对提高USC的效果排名为:(石灰+水泥)>水泥>(石灰+粉煤灰)>粉煤灰>石灰,为达到目标UCS,土的塑性指数越大,则改良所需的结合料组合排名越靠前。由于素土类型和改良方案的区别,UCS相近的改良土可能呈现较大差异的回弹模量。在同一UCS控制条件下,改良土回弹模量总体随着水/结合料比例的减小而提高,而累积塑性应变则总体随着该比例的减小而降低,回弹模量、累积塑性应变均与土的PI无明显相关性,在7 d的基础上适当延长养护时间可以有效提高回弹模量,在实际工程中,利用改良土应重视压实后的养护工作。展开更多
文摘Occasionally, in complex inherent characteristics of certain rocks, especially anisotropic rocks it may be difficult to measure the uniaxial compressive strength UCS. However, the use of empirical relationships to evaluate the UCS of rock can be more practical and economical. Consequently, this study carried out to predict UCS from microfabrics properties of banded amphibolite rocks using multiple regression analysis. Based on statistical results, rock microfabric parameters, which adequately represent the UCS of a given rock type have been selected. The results show that grain size, shape factor and quartz content have high significant correlation with UCS at 95% confidence level. From multiple regression model, approximately 84% of the variance of the UCS can be estimated by the linear combination of these three parameters. However, according to model performance criteria: correlation coefficient (R = 0.919), variance account for (VAF = 97%) and root mean square error (RMSE = 4.16) the study clearly indicates that the developed model is reliable to predict the UCS. Finally, this approach can be easily extended to the modeling of rock strength in the absence of adequate geological information or abundant data.
文摘针对湖南省四种不同塑性指数(PI)的路基软土,在控制无侧限抗压强度(UCS)为350 k Pa和700k Pa的条件下,研究了采用粉煤灰、石灰、水泥三种无机结合料进行改良的配比组合方案,并对改良土进行了循环加载试验以评价其动力性能(如回弹模量和累积塑性应变)。研究结果表明,各种结合料组合对提高USC的效果排名为:(石灰+水泥)>水泥>(石灰+粉煤灰)>粉煤灰>石灰,为达到目标UCS,土的塑性指数越大,则改良所需的结合料组合排名越靠前。由于素土类型和改良方案的区别,UCS相近的改良土可能呈现较大差异的回弹模量。在同一UCS控制条件下,改良土回弹模量总体随着水/结合料比例的减小而提高,而累积塑性应变则总体随着该比例的减小而降低,回弹模量、累积塑性应变均与土的PI无明显相关性,在7 d的基础上适当延长养护时间可以有效提高回弹模量,在实际工程中,利用改良土应重视压实后的养护工作。
