Artificial neural network for prediction of rockburst in deep-buried long tunnel

作者：Li XH^*; Wang XF; Kang Y; He Z

来源：ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 983-986, 2005.

Rockburst is a main engineering geological problems in deep-buried long tunnels. Rockburst phenomena have been analyzed, assumptions and criteria have been presented from the perspectives of strength, stiffness, energy, steadiness, fracture, damage, fractal and catastrophe, etc. Considering individual factors only among some assumptions and criteria will cause unilateral and limited results. Based on the assumptions and criteria of rockburst and real examples of tunnel engineering, a neural network model is proposed to predict rockburst. The prediction results show that it is feasible and valid to use artificial neural network for predicting rockburst.

• 出版日期2005
• 单位重庆大学