FORECASTING OF ROCK BURST BASED ON ANT COLONY CLUSTERING ALGORITHM
For the rock burst is the big disaster in deep underground engineering, it is very important to study the forecasting of rock burst. For the influence factors of rock burst are numerous and their relationship is very complicated, it can not be solved by traditional methods, so generally based on engineering analogy and geology analysis, the clustering methods are used widely. For the complicated environment influence of rock burst, this clustering problem is a very complicated fuzzy and random optimization problem, and can not be solved by traditional methods very well. So, here the new bionics clustering optimization method-Ant Colony Clustering Algorithm which is proposed recently has been introduced into rock burst forecasting field for the first time. Based on this new bionics clustering method, one new method for forecasting of rock burst is proposed. Based on analyzing the data of rock burst samples, from the engineering analogy thinking by ant colony clustering algorithm, the rock burst can be forecasted. Two real engineering examples are used to verify calculating effect of the new algorithm. The engineering application can prove that, this new algorithm can automatically sort the rock burst samples, and the validity is very high, so it is a very practical method for rock burst forecasting, and should be popularized in real practice.
WEI GAO
State Key Laboratory of Geomechanics and Geotechinical Engineering, Institute of Rock and Soil Mechanics, CAS Wuhan, 430071, P.R.China
国际会议
The 7th International Symposium on Rockburst and Seismicity in Mines(2009年第七届国际岩爆与微振动性学术研讨会)
大连
英文
1141-1146
2009-08-21（万方平台首次上网日期，不代表论文的发表时间）