Advancing Technology for Fast Evaluating Engineering eological Condition in Working Face and Support Performance
碩士 === 國立臺北科技大學 === 資源工程研究所 === 101 === This research proposes an advancing technology to fast evaluate geological conditions and support performance of working face in rock tunnels, providing early warning of engineering disasters, enhancement and refinement of excavation method, and the foundation...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/fddxrp |
| Summary: | 碩士 === 國立臺北科技大學 === 資源工程研究所 === 101 === This research proposes an advancing technology to fast evaluate geological conditions and support performance of working face in rock tunnels, providing early warning of engineering disasters, enhancement and refinement of excavation method, and the foundation of exquisite tunnel engineering. By continuously and quantitatively recording the behavior around the working face, we can express the interaction between the surrounding rock and supports dynamically. The procedures contain a scanning of ground LiDAR which quickly obtain precise point cloud data in the vicinity of the working face. The data is analyzed to estimate rock discontinuities parameters and possible key blocks. Moreover, evaluating the performance of excavation, the thickness of shotcrete and the displacements of surrounding rock can provide a basis to adjust the construction method or the design. A tunnel excavated in metamorphic rock in eastern Taiwan is taken to verify and apply the proposed technology.
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