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基于神经网络的盾构土压平衡控制模型的研究

Control Model of Earth Pressure for Shield Tunneling Based on Neural Network

【作者】 张晓峰

【导师】 邵诚;

【作者基本信息】 大连理工大学 , 检测技术与自动化装置, 2009, 硕士

【摘要】 在盾构施工中,地面沉降控制一直以来都是盾构技术研究的重点,因为其决定了是否发生地表塌陷等灾难性事故,也是盾构技术应用的一个重大难题。而导致地表沉降的的直接因素是密封舱内的土压失衡。故在盾构掘进过程中必须维持密封舱内土压和开挖面土压的平衡。由于盾构法施工过程的复杂性、地质条件和工况等的不确定性,以及掘进系统各子系统之间存在着关联耦合性,很难建立掘进过程密封舱压力控制的精确的数学模型,施工中其沉降控制效果很大程度上取决于施工人员的经验,因此施工的质量和精度难以保证。为了实现盾构土压平衡的自动控制,建立盾构掘进系统的土压控制模型是非常必要的。基于此,本文进行了如下研究工作:首先设计了土压平衡盾构的控制系统,对系统的工作原理及设计思路作一基本分析,尤其对掘进系统的刀盘、推进和排渣子系统的协调控制问题进行了讨论;然后通过机理分析,确定影响土压的主要参数是刀盘转速、推进速度、推力和螺旋输送机转速,并分别给出了土压和这些参数的关系表达式,为密封舱内的土压平衡控制提供了依据。在此基础上,利用BP神经网络建立了以刀盘转速、推进速度、推力和螺旋输送机转速为输入,密封舱土压为输出的盾构土压平衡控制模型,并利用该模型求解得到螺旋输送机转速使得密封舱跟踪期望的土压。最后,对提出的控制模型进行仿真试验,结果表明:该土压平衡控制模型能够满足土压平衡控制的要求,比人工控制更为精确,对盾构土压平衡自动控制的研究具有一定的指导意义。

【Abstract】 The control of land subsidence is always an important aspect of Shield technology research operating the complex shield. And it is also a major problem of Shield technology because of the bad control result could lead to some accident disaster like surface subsidence. The decisive factor of land subsidence is the earth pressure of the shield’s sealed cable. Therefore, it is very important to maintain the balance between earth pressure in the sealed cable and earth pressure of excavated surface. However, some difficulties like the complexity of shield construction process, the obvious fluctuation of relative geological conditions and orbit conditions or operation of construction, sometimes, they even become random and fuzzy, and it also has relevancy and couplings among those subsystems in the shield system. It is hard to describe the construction process by specific mathematic model, and the control of Earth Pressure Balance Shield stays at experience level. In order to achieve automatic control of earth pressure balance shield, the establishment of earth pressure shield tunneling system control model is very necessary. Based on this, this thesis has done researches as follows:Firstly, this paper designs the control system of Earth Pressure Balance Shield and analysis the operating principle and mentality of design about the control system of Earth Pressure Balance Shield, specially, study the coordination control problem among the cutter head subsystem, the propulsion subsystem and the slag subsystem. Secondly, based on mechanism analysis, get the conclusion that the main effected parameters of earth pressure are cutter head speed, advanced speed, thrust and screw conveyor speed. And establish the formulas of earth pressure and these parameters. This provides a basis of the balance control of the sealed cable’s earth pressure. Based on this, create a control model of Earth Pressure Balance Shield by BP Neural Network, which make cutter head speed, advanced speed, thrust and screw conveyor speed as inputs and sealed cable’s earth pressure as output, and make the cable’s earth pressure track the expected earth pressure by means of solving this model to get the optimal screw conveyor speed. At last, train and verify this control model with the field construction data. The simulation result shows that this control model of earth pressure balance could satisfy the requirement of the control of Earth Pressure Balance and it is more precise than the manual control. The conclusion has some directive significances about the research of the automatic control of Earth Pressure Balance Shield.

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