A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Artificial Intelligence Applications for Tunneling
Geotechnical uncertainty is the governing source of risk on urban tunnel projects. A typical preconstruction geotechnical site investigation for a tunnel project involves vertical and/or inclined boreholes spaced at 50-m to 75-m intervals along alignments often extending for kilometers. This leads to a sampling rate of less than 0.1 percent of the ground. The result is a very high level of geotechnical and geological uncertainty, with reliance on desktop study and understanding of geological processes to help fill in very large information gaps.
Artificial Intelligence Applications for Tunneling
Geotechnical uncertainty is the governing source of risk on urban tunnel projects. A typical preconstruction geotechnical site investigation for a tunnel project involves vertical and/or inclined boreholes spaced at 50-m to 75-m intervals along alignments often extending for kilometers. This leads to a sampling rate of less than 0.1 percent of the ground. The result is a very high level of geotechnical and geological uncertainty, with reliance on desktop study and understanding of geological processes to help fill in very large information gaps.
Artificial Intelligence Applications for Tunneling
Geostrata
Mooney, Michael A. (author) / Yu, Hongjie (author)
GeoStrata Magazine Archive ; 26 ; 40-47
2022-02-01
Article (Journal)
Electronic Resource
English
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