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

机译:基于欧拉-拉格朗日有限元法的吸力锚安装数值模拟

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Details of a three-dimensional finite element modeling on the basis ofthe Coupled Eulerian-Lagrangian method for simulation on installationof suction anchors are presented in this paper. Generally in a process ofthe design practice of suction anchors, a classical finite element methodhas been widely used to predict a stress-strain behavior of the soils bothinside and outside the suction anchors. But the classical finite elementmethod often leads to contact boundary problems on between the soilsand the suction anchors, in particular, when simulating on installationof the suction anchors penetrated into the clay which large deformationoccurs. Whereas a finite element analysis based on the CEL method iswell suitable of solving geotechnical contact problems including largedeformation of the interface between the clay and the suction anchors.A series of three dimensional finite element analyses based on the CELon suction anchors with ratios of 1:1 to 1:6 (diameter versus penetrationdepth) were performed and simulated on installation of the suctionanchors into the clay. A stress-strain behavior of the clay both insideand outside the suction anchors under installation was investigated. TheCEL predictions were compared with the design predictions on skirtpenetration resistance load by DNV (2005). The CEL predictions gavea correlation with the design predictions within 20% errors. The resultsindicated that the CEL simulation on installation of suction anchors canreasonably provide good predictions.
机译:基于三维有限元建模的细节 欧拉-拉格朗日耦合法模拟安装 本文介绍了一些吸力锚。通常在 吸力锚的设计实践,一种经典的有限元方法 已被广泛用于预测土壤的应力应变行为 内部和外部的吸力锚。但是经典的有限元 方法通常会导致土壤之间的接触边界问题 以及吸力锚,尤其是在安装模拟时 的吸力锚钉渗透到粘土中,变形很大 发生。而基于CEL方法的有限元分析是 非常适合解决岩土工程接触问题,包括大型 粘土和吸力锚之间的界面变形。 基于CEL的一系列三维有限元分析 比例为1:1至1:6的吸力锚(直径与穿透力 深度)进行并模拟吸气装置的安装 锚定在粘土中。两者内部的黏土的应力-应变行为 并研究了安装中的吸力锚的外部。这 将CEL预测与裙子的设计预测进行比较 穿透阻力载荷由DNV(2005)提供。 CEL的预测给出了 与设计预测的相关性在20%的误差以内。结果 指出,安装吸力锚的CEL模拟可以 合理地提供良好的预测。

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