摘要(英) |
Because the reclamation of slope-lands in Taiwan is becoming more intense, the opportunity of dealing with rock media is considerably increased. However, disability of capturing the crucial rock features always leads to some potential engineering disasters during or after construction. The uniaxial compressive strength qu is a very important property for rocks, but it is not only time-consuming and expensive to attain but also difficult for field measuring. Therefore, establishing a predictive model of qu by other convenient, simple and economical tests is definitely beneficial for the preliminary planning and mechanical design of various constructions in mountainous regions.
The objective of this thesis is to study the relationships among the Schmidt rebound value (Rn), point load index (Is), ultra-sound compressive wave velocity (Vp), slaking durability index (Id), and the target factor qu. Because such relationships may vary with rock formations in different regions, the area between Fu-hsin and Ba-lin along the Northern Cross-Island Road was selected for investigation. To avoid the contribution of in-situ rock anisotropy, all measurements were applied in the direction normal to major the bedding plane (except the slaking durability test without a sense of application direction). The least square principle was used to determine the regression relation between each type of measurement and qu. It is hoped that the similar work be extended to the other regions of Taiwan.
It is found that a better regression result with a higher value of the square of correlation coefficient (R2) was achieved after classifying rock specimens into Oligocence and Miocence ones. qu was observed to be in an exponential relationship of Rn; qu varied remarkably linearly with Is; qu related with Vp in a power law; R2 is greater than 0.95 for all the above three cases. Although there existed a rough linear relationship Id between and qu, the corresponding R2 value was low. All the observed regression relationships for the research area match those described in literature, but the regression coefficients were different, reflecting the contribution of local geological processes. |
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