Research on Signal Acquisition and Imaging Method of Tunnel Geological Forecast Based on Risk Assessment
DOI: 10.23977/ieim.2022.050301 | Downloads: 19 | Views: 694
Author(s)
Ming Zhong 1
Affiliation(s)
1 China Merchants Chongqing Highway Engineering Testing Center Co., Ltd, Chongqing 400067, China
Corresponding Author
Ming ZhongABSTRACT
In order to ensure that the construction of high-risk highway( railway) tunnels can be carried out safely, relevant management departments, survey and design departments and corresponding construction units have carried out a lot of research on the methods and means of advanced geological forecasting. For tunnels under complex geological conditions, geological advance forecasts should be carried out before and during construction, to discover in advance the geological diseases that may be encountered during the tunnel excavation process, and to forecast possible accidents and dangers, so that timely measures can be taken to prevent problems. To ensure construction safety; by comparing several commonly used tunnel geological hazard risk assessment methods at present, the analytic hierarchy process is selected to assess the tunnel geological hazard risk. Therefore, we should study effective means, forecast and study the unfavorable geology and ensure the smooth progress of the project, which is a very important work in the future. Therefore, in the process of construction, reasonable use of comprehensive advanced geological prediction technology, short-term and long-term advanced geological prediction, and matching, have played an active and effective role in accurately formulating the construction plan, accelerating the construction progress and ensuring the construction safety.
KEYWORDS
Risk assessment, Advance prediction signal, Method studyCITE THIS PAPER
Ming Zhong, Research on Signal Acquisition and Imaging Method of Tunnel Geological Forecast Based on Risk Assessment. Industrial Engineering and Innovation Management (2022) Vol. 5: 1-5. DOI: http://dx.doi.org/10.23977/ieim.2022.050301.
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