Dynamic Simulation And Analysis Of Vertically Loaded Anchor Based On Finite Element Method

The Vertically Loaded Anchor (VLA) is a new type of drag anchor for that it can work in deep water and has advantages of convinient installation,recycle,and higher bearing capacity. Compared with other types of drag anchors the VLA has obvious advantages in deep-water environments,so it has been used widely in the deep-water mooring systems. For the VLA’s research focuses is the embedded depth study and the analysys of trajectory. The trajectory analysis is the basis of structural optimization in the practical application.This article describes the development and the installation ways of VLA, emphasizing the embedded trajectory and the limit depth of the VLA in the whole process of installation. By analyzing the factors of its theoretical embedded trajectory, summing up the the impacts of external environment, its structures and the dragging ways.Then we can build the modle of VLA combining with LS-DYNA software with the results of theoretical analysis. Combined with its embedded features to select the appropriate calculation methods.The basis of theory is the most important condition in the initial stage to build the modle, simplify the model and the selection of parameter. Reasonable parameter can form the effective contrast of trajectory under the environment of soft clay. While the important factors are still the basis of theroy. The simulation process is not only the basis of the conclusions of the optimization supplement, but also the experimental analysis.In the embedding process, trace analysis and comparison of the VLA can be done through changing the anchor plate embedded in the state, the structural characteristics and dragging methods for simulation data,and can analysis the features of changes by analyzing the trajectories of comparison, the speed, the results of comparative analysis of the variables in the embedding process, and then select the most efficient way of embedding to embed the overall structural optimization and selection methods in practical applications.