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Indexed by:会议论文

Date of Publication:2014-09-12

Included Journals:EI、CPCI-S、Scopus

Page Number:272-276

Key Words:shield; earth pressure balance; tunneling parameters; adaptive neuro-fuzzy; genetic algorithm

Abstract:This article discusses multipoint earth pressure prediction issue for EPB (Earth Pressure Balance) shield chamber's pressure field. Based on advance rate, rotating speed of the cutter head, screw conveyor speed, and the earth pressure measurements, four forecasting models are established for shield chamber pressure points with the adaptive neuro-fuzzy(ANFIS) by minimizing deviation between the corresponding point's predicted pressures and the settings. Then, use the genetic algorithm to get the optimal screw conveyor speed to control the earth pressure balance tunneling process. Simulation results show that the proposed prediction and the optimal control method give better performance with small tracking error and fast tracking speed.