Research on high quality mesh method of armored umbilical cable for deep sea equipment

Research on high quality mesh method of armored umbilical cable for deep sea equipment
复制标题

深海设备用铠装脐带缆高质量成网方法研究

DOI:
10.1016/j.oceaneng.2020.108550
复制
发表时间:
2021-02
期刊:
影响因子:
5
通讯作者:
Wan Buyan
Wan Buyan
中科院分区:
工程技术2区
文献类型:
--
作者:
Xie Kun;Jin Yongping;Peng Youduo;Liu Guangping;Wan Buyan

文献摘要

参考文献

相似文献

大多数文献都是自动生成网格,但对铠装脐带缆(AUC)的分析精度不够高。关于高质量网格生成方法没有详细的介绍。为此,本文提出了一种用于深海设备水下控制的高质量网格生成方法(六面体网格生成法)。六面体网格生成法常用于弯扭结构和大变形结构的分析。AUC的分析正是对弯曲或扭转结构和大变形结构的分析。该模型将端面构件分为五种类型:圆形、环形、扇形、带弯曲三角形边和弯曲方形边。此外,针对五种不同截面类型采用不同的六面体网格划分方法,得到各部件的高质量六面体网格,并通过组合进行组装,形成高质量的AUC三维六面体网格模型。最后进行了有限元分析,确定了六面体网格模型的精度。结果表明:六面体网格比自动生成的网格更能提高分析精度。这将为AUC的设计、可靠性分析提供技术支持。
Most of the references are automatic mesh generation, but the accuracy of armored umbilical cable (AUC) analysis is not high enough. There is no detailed introduction about high-quality mesh generation method. Therefore, a high quality mesh method (hexahedral mesh generation method) for AUC for deep sea equipment is proposed in this paper. Hexahedral mesh generation method is often used in the analysis of structures subjected to bending or torsion and structures with large deformation. The analysis of AUC is exactly the analysis of bending or torsional structures and large deformation structures. The model is divided into five types for end face member: a circular, a circular ring, a fan-shaped, a side with a curved triangular and a curved square side. In addition, different hexahedral mesh methods for five different cross-section types, get a high quality hexahedral mesh of each part and assemble it by combination, forming a high quality AUC three-dimensional hexahedral mesh model. At last, finite element analysis is carried out to determine the accuracy of the hexahedral mesh model. The results show: hexahedral mesh can improve analysis accuracy more than automatically generated mesh. This will provide technical support for the design, reliability analysis of the AUC.
DOI: 10.1504/ijmpt.2020.110116
发表时间: 2020
影响因子: 0.5
作者:
He Shudong;Peng Youduo;Jin Yongping;Wan Buyan
通讯作者: He Shudong;Peng Youduo;Jin Yongping;Wan Buyan
DOI: 10.1186/s10033-020-00480-0
发表时间: 2020-09
影响因子: 4.2
作者:
Shudong He;Youduo Peng;Yong-ping Jin;B. Wan;Guangping Liu
通讯作者: Shudong He;Youduo Peng;Yong-ping Jin;B. Wan;Guangping Liu
DOI: 10.1115/1.3257019
发表时间: 1987-08
影响因子: 1.6
作者:
J. Féret;C. Bournazel
通讯作者: J. Féret;C. Bournazel
DOI: --
发表时间: 2015
期刊: --
影响因子: --
作者:
Wan Bu-ya
通讯作者: Wan Bu-ya
DOI: --
发表时间: 2010
期刊: --
影响因子: --
作者:
B. Wan;Guang Zhang;Huang Xiaojun
通讯作者: B. Wan;Guang Zhang;Huang Xiaojun