研究生: |
Hesbon Moriasi Okari Hesbon - Moriasi Okari |
---|---|
論文名稱: |
Validation of a theoretical generalized tunneling thrust prediction model and mechanized underground excavation indices:Case studies Validation of a theoretical generalized tunneling thrust prediction model and mechanized underground excavation indices:Case studies |
指導教授: |
陳堯中
Yao-chung Chen 陳立憲 Li-hsien Chen |
口試委員: |
陳志南
Chee-nan Chen |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 營建工程系 Department of Civil and Construction Engineering |
論文出版年: | 2015 |
畢業學年度: | 103 |
語文別: | 英文 |
論文頁數: | 136 |
中文關鍵詞: | thrust prediction model 、TBM performance index 、case studies |
外文關鍵詞: | thrust prediction model, TBM performance index, case studies |
相關次數: | 點閱:200 下載:0 |
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This research explores the performance of underground mechanical excavation systems in the field. A general analytical estimation model developed earlier that enables analysis of underground mechanical excavation in similar geological conditions to be compared is subjected to verification using real case studies. It relied on understanding of the rock/soil cutting process at the machine-geomaterial interaction interface, geomaterial properties, machine characteristics and mathematical techniques of dimensional analysis. The study presents a theoretical tunneling thrust prediction model that systematically builds upon soil-machine interactions.It also presents an analytical estimation to deal with tunneling management in different mechanised excavation methods (tunnel boring machine, shield tunnel and pipe jacking), construction types (earth pressure balance, slurry pressure balance, thick-mud), and geological conditions (soil, gravel and rock) by normalizing their total thrust system using dimensional analysis.
The results from this study reveal interesting findings. First, that thrust can be given as a range of critical values. Also developed are dimensionless parameters that can be used to cluster rock/soil cutting into clusters. Second, that real-time data would be used to predict inefficient or hazardous cutting conditions. The study results show a promising method of monitoring tunneling machine performance given more data and sensitivity analysis.
This research explores the performance of underground mechanical excavation systems in the field. A general analytical estimation model developed earlier that enables analysis of underground mechanical excavation in similar geological conditions to be compared is subjected to verification using real case studies. It relied on understanding of the rock/soil cutting process at the machine-geomaterial interaction interface, geomaterial properties, machine characteristics and mathematical techniques of dimensional analysis. The study presents a theoretical tunneling thrust prediction model that systematically builds upon soil-machine interactions.It also presents an analytical estimation to deal with tunneling management in different mechanised excavation methods (tunnel boring machine, shield tunnel and pipe jacking), construction types (earth pressure balance, slurry pressure balance, thick-mud), and geological conditions (soil, gravel and rock) by normalizing their total thrust system using dimensional analysis.
The results from this study reveal interesting findings. First, that thrust can be given as a range of critical values. Also developed are dimensionless parameters that can be used to cluster rock/soil cutting into clusters. Second, that real-time data would be used to predict inefficient or hazardous cutting conditions. The study results show a promising method of monitoring tunneling machine performance given more data and sensitivity analysis.
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