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Numerical Simulation on Suction Anchor Installation based on a Coupled Eulerian-Lagrangian Finite Element Method

机译:基于耦合Eulerian-Lagrangian有限元方法的吸入锚固装置数值模拟

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Details of a three-dimensional finite element modeling on the basis of the Coupled Eulerian-Lagrangian method for simulation on installation of suction anchors are presented in this paper. Generally in a process of the design practice of suction anchors, a classical finite element method has been widely used to predict a stress-strain behavior of the soils both inside and outside the suction anchors. But the classical finite element method often leads to contact boundary problems on between the soils and the suction anchors, in particular, when simulating on installation of the suction anchors penetrated into the clay which large deformation occurs. Whereas a finite element analysis based on the CEL method is well suitable of solving geotechnical contact problems including large deformation of the interface between the clay and the suction anchors. A series of three dimensional finite element analyses based on the CEL on suction anchors with ratios of 1:1 to 1:6 (diameter versus penetration depth) were performed and simulated on installation of the suction anchors into the clay. A stress-strain behavior of the clay both inside and outside the suction anchors under installation was investigated. The CEL predictions were compared with the design predictions on skirt penetration resistance load by DNV (2005). The CEL predictions gave a correlation with the design predictions within 20% errors. The results indicated that the CEL simulation on installation of suction anchors can reasonably provide good predictions.
机译:本文介绍了基于耦合的欧拉拉格朗日仿真仿真的三维有限元建模的细节。通常在抽吸锚固锚的设计实践的过程中,经典的有限元方法已被广泛用于预测吸锚的内部和外部的土壤的应力 - 应变行为。但是,经典有限元方法通常导致在土壤和抽吸锚之间的接触边界问题,特别是在模拟穿过粘土中的抽吸锚固件的安装时发生的粘土。然而,基于CEL方法的有限元分析很好地求解岩土接触问题,包括粘土和吸锚之间的界面的大变形。一系列基于CEL上的三维有限元分析,比率为1:1至1:6(直径与穿透深度),并模拟在粘土中的抽吸锚固件的安装。研究了安装在安装下的吸锚内外粘土的应力 - 应变行为。将CEL预测与DNV(2005)上的裙子穿透载荷的设计预测进行了比较。 CEL预测与20%错误内的设计预测相关联。结果表明,在安装吸入锚固架上的CI模拟可以合理地提供良好的预测。

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