| Summary: | 碩士 === 國立中央大學 === 土木工程學系 === 103 === For rocks, it produces joints by physical or chemical effects. The strength is affected not only by shear strength of rock mass, but also of joints. Joints can cause strength to decrease and hence create damages to lives and properties. Joint roughness coefficient, rock material and friction between rock and mineral can influence rock joint strength. Joint roughness coefficient indicates roughness of rock profile. However, it makes deviation increase and effects the constructions without quantity. Therefore, in this research, we apply statistics to analyze spatial variability of profile with different joint roughness coefficient. Research approaches include: (1) we collect and quantify profiles. (2) We calculate lag distance, correlation coefficient and semivariance. Then, we simulate autocorrelation and semivariance function. (3) Finally, we analyze spatial variability of profile with different JRC. The result is that (1) we can apply a semivariance function to simulate profiles of different JRC. (2) When lag distance is large, variability of correlation coefficient is large.
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