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DISCRETE ELEMENT METHOD TO PREDICT SOFT GROUND CUTTERHEAD PERFORMANCE

机译:离散元法预测软土刀头性能

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Soft ground TBM Cutterhead design has historically been driven by iterativerndesigns based on empirical data, observations over various projects and industry rulesrnof thumb. The ability to analyze the performance of a cutterhead has been limited tornstudies conducted in-situ during TBM operations. With the use of Caterpillar proprietaryrnDiscrete Element Method (DEM) software, Rocks3DTD, critical operational characteristicsrncan be analyzed much earlier on, during the design phase, and allow forrncomparison of such key parameters as required torque, advance rate, material flowrnpaths, and effectiveness of loading mechanisms. Rocks3DTD is a proprietary discreternelement code, which allows for time-elapsed particle interactions with structures, andrnconsiders particle size, shape, soil cohesive properties and density. The resulting datarnallows for optimization of cutterhead opening ratio, opening geometry, tool positions,rnand muck removal from the plenum. This paper will review simulations performed torndate and examine how discrete element analysis can be applied to cutterhead performancernoptimization.
机译:过去,软土地基TBM刀盘的设计是由基于经验数据,对各种项目的观察以及行业准则的迭代设计推动的。在TBM操作过程中,原位进行的研究局限于刀具的性能分析能力。使用Caterpillar专有的离散元方法(DEM)软件Rocks3DTD,可以在设计阶段更早地分析关键的操作特性,并可以对关键参数进行比较,例如所需的扭矩,前进速度,物料流动路径和装载效果机制。 Rocks3DTD是专有的离散成分代码,它允许经过时间的粒子与结构相互作用,并考虑粒子的大小,形状,土壤粘性和密度。产生的数据优化了刀盘开口率,开口几何形状,刀具位置,从气室中去除渣子的数据。本文将回顾迄今进行的仿真,并研究如何将离散元素分析应用于刀盘性能的优化。

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