首页> 外文会议>ASME international conference on ocean, offshore and arctic engineering >A METHOD TO PREDICT EMBEDDED TRAJECTORY BASED ON THE FINITE ELEMENT ANALYSES OF BEARING CAPACITY OF DRAG ANCHOR
【24h】

A METHOD TO PREDICT EMBEDDED TRAJECTORY BASED ON THE FINITE ELEMENT ANALYSES OF BEARING CAPACITY OF DRAG ANCHOR

机译:基于拉力锚固承载力有限元分析的嵌入式弹道预测方法

获取原文

摘要

With the development of marine resources going to deeper water depth, the mooring system design becomes more important. Predicting the embedded trajectory of drag anchor during the installation process is very significant for calculating the ultimate pullout bearing capacity of drag anchor and the mooring system design. Firstly, the initial angle and embedded depth of drag anchor are assumed. Secondly, the drag anchor penetrates a unit displacement along the direction parallel to the anchor fluke at each incremental step, and the specific position information (horizontal, vertical, angle) could be obtained. Thirdly, the ultimate bearing capacity of drag anchor at this incremental step could be calculated using the two-dimensional and three-dimensional finite element model which considering the contact friction between the drag embedment anchor and seabed clay. And then, the new specific position information could be obtained according to the mechanical equilibrium equation of inverse catenary. Finally, the whole drag anchor embedded trajectory could be obtained when the drag angle between the anchor fluke and seabed tends to zero as a limit state. In this paper, a method of predicting embedded trajectory based on the finite element analyses of bearing capacity of drag anchor is established, which could be used as a reference for the practical engineering.
机译:随着海洋资源的发展到更深的水深,系泊系统的设计变得越来越重要。预测安装过程中阻力锚的嵌入轨迹对于计算阻力锚的极限拉拔承载力和系泊系统设计非常重要。首先,假设阻力锚的初始角度和埋入深度。其次,阻力锚在每个增量步沿平行于锚fl的方向渗透一个单位位移,从而可以获得特定的位置信息(水平,垂直,角度)。第三,考虑到阻力埋固锚与海床黏土之间的接触摩擦,可以使用二维和三维有限元模型来计算阻力锚在该增量步骤的极限承载力。然后,根据逆链的机械平衡方程,可以得到新的特定位置信息。最终,当锚fl与海床之间的阻力角趋于零为极限状态时,可以获得整个阻力锚嵌入轨迹。本文建立了基于阻力锚承载力有限元分析的嵌入式轨迹预测方法,可为实际工程提供参考。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号