The regression analysis and design of the tunnel blasting parameters

碩士 === 國立成功大學 === 資源工程學系 === 84 === A model of tunnel blasting design has been developed by analyzing the collected data of the Gneiss formation in the new Ho-pin tunnel at Hwan-Lien ,eastern Taiwan. In this study, tunnel face drilling are grouped into...

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Bibliographic Details
Main Authors: You, Hsiang-Lin, 游象麟
Other Authors: Chang Jui-Lin
Format: Others
Language:zh-TW
Published: 1996
Online Access:http://ndltd.ncl.edu.tw/handle/12613055743923788192
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Summary:碩士 === 國立成功大學 === 資源工程學系 === 84 === A model of tunnel blasting design has been developed by analyzing the collected data of the Gneiss formation in the new Ho-pin tunnel at Hwan-Lien ,eastern Taiwan. In this study, tunnel face drilling are grouped into cut, stoping, back, side, and lifter holes. The model took stoping hole numbers and explosion charge quantity as independent variables. Parameters of RMR, face area and advance rate are related through linear regression based on successful rounds. The model is back- filling in nature. It is believed that this technique will provide a better first round design for the in-situ blasting. Results of this research can be summarized as following: (1)The regression analysis shows the adjusted R-square is above 0.9 which infersthat the influence of rock properties on blasting design in Gneiss tunnel can be primary assorted by CSIR-RMR.(2) The simulation error is neglectable.It means the blasting model can provide a proper design for test round.(3)The data used in this study are successful records of previous blasting rounds which infer the charge might be overdesigned, which can be adjusted by field observation.(4)The model is a back-filling process. The program provides a mean to accumulateexperiences which can promote to other sites.