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发表时间：2015-01-01

发表刊物：煤炭学报

期号：12

页面范围：2979-2986

ISSN号：0253-9993

摘要：During the process of shield excavation, the pressure unbalance of excavation surface may easily cause the collapse or blow-out of ground surface, which may lead to disastrous accidents. Since the change of chamber earth pressure is closely related to the pressure of excavation surface, the accurate prediction and control of chamber earth pressure is one of key technologies for avoiding the pressure unbalance of excavation surface effectively. In order to establish the prediction model of chamber earth pressure, the relationships between earth pressure and excavating parameters, especially the influence of cutter torque on earth pressure, were analyzed in detail. On this basis, the new input and output parameters of earth pressure model were determined. Then, according to the data of pressure sensors on the clapboard, a prediction model of earth pressure was established based on the least squares support vector machine (LS-SVM). And based on the prediction model, by minimizing the deviation between four predicted earth pressures and setting values, the particle swarm optimization (PSO) was adopted to optimize the control parameters, therefore, the online balance control of earth pressure was realized. Finally, in order to verify the validity and accuracy of prediction model, some simulation experiments and comparative analyses were carried out by using on-site construction data. The proposed method provides a technical support for the accurate prediction and control of chamber earth pressure and the safety in excavating process. © 2015, China Coal Society. All right reserved.

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