The Study Of Developing Mechanism And Harnessing Technology For Shaft Fracturing In Thick Alluvium

Non-mining fracturing of shaft lining is a special engineering geologic hazard and is caused by interaction between mining and geological environment. The neural network forecast system and new harnessing method were established based on the achievements of researchers before. The main conclusions of this thesis are:1. The numerical simulation model was built based on practical engineering geologic and hydrogeologic conditions of shaft fracturing. The simulation was carried out by three-dimensional coupling numerical simulation method. The result revealed the changing laws of different factors in the process of shaft-lining fracturing, and would play an important role in the fracturing mechanism analysis and prevention and harness for shaft lining.2. The calculation methods of mechanism analysis was founded for the forecast and harnessing of shaft fracture, and the new shaft could be designed according as this methods.3. The forecast system was established based on the fuzzy neural network theory. The forecast results indicated that the approach combining fuzzy logical judgment with artificial neural network could distinguish better the developing of shaft-lining non-mining fracture hazard and the results were reliable and could meet the practical requirement.4. The new harnessing method is drawn for the shaft lining fracture based on the mechanism analysis of harnessing methods for shaft lining fracture before, and the new theory was provided for harnessing shaft effectively according to this new harnessing method.