Research on Computer-Aided Decision-making Software of Advanced Geological Prediction in Tunnel

To enhance the speed and accuracy of the tunnel geological prediction based on the engineering geology, rock mechanics and geophysical exploration, non-linear intelligence in science and technology, such as fuzzy comprehensive evaluation, fuzzy neural network, etc. are adopted to solve some key technical issues, such as comprehensive forecast of unfavorable geological conditions. Ultimately, the computer-aided software of tunnel advanced geological prediction is developed. The prediction function of the software is divided into two phases: reconnaissance stage and construction stage. Among the items concerned, reconnaissance stage mainly focuses on inquiring the basic geological conditions about tunnels, and preliminarily predicting rock burst, large deformations and water inflow. Construction stage mainly focuses on prediction of basic geological conditions of tunnel, unfavorable geological conditions like fault, broken rock, cave and rich water as well as construction geological disasters, such as, rock burst, large deformation, collapse, water gushing and gas outburst. Through its application in several long tunnels, the software presents its advantages of timeliness and high prediction accuracy.