• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Xu, Dongdong (Xu, Dongdong.) | Yang, Yongtao (Yang, Yongtao.) | Zheng, Hong (Zheng, Hong.) (学者:郑宏) | Wu, Aiqing (Wu, Aiqing.)

收录:

EI Scopus SCIE

摘要:

The numerical manifold method falls into the category of the partition of unity methods. In order to enhance accuracy, high order polynomials can be specified as the local approximations. This, however, would incur rank deficiency of the stiffness matrix. In this study, a local displacement approximation is constructed over a physical patch generated from a four quadrilateral mathematical mesh. All the degrees of freedom are physically meaningful. The stresses are continuous at all nodes, suggesting that no stress polish is required. The proposed approximations have the same accuracy as the first-order polynomials, but no linear dependency inherent in the latter. (C) 2016 Elsevier Ltd. All rights reserved.

关键词:

Linear dependency issue Local approximation Numerical manifold method Partition of unity based methods

作者机构:

  • [ 1 ] [Xu, Dongdong]Yangtze River Sci Res Inst, Minist Water Resources, Key Lab Geotech Mech & Engn, Wuhan 430010, Peoples R China
  • [ 2 ] [Wu, Aiqing]Yangtze River Sci Res Inst, Minist Water Resources, Key Lab Geotech Mech & Engn, Wuhan 430010, Peoples R China
  • [ 3 ] [Xu, Dongdong]Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
  • [ 4 ] [Yang, Yongtao]Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
  • [ 5 ] [Zheng, Hong]Beijing Univ Technol, Minist Educ, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • 郑宏

    [Zheng, Hong]Beijing Univ Technol, Minist Educ, Key Lab Urban Secur & Disaster Engn, Beijing 100124, Peoples R China

电子邮件地址:

查看成果更多字段

相关关键词:

来源 :

COMPUTERS & STRUCTURES

ISSN: 0045-7949

年份: 2017

卷: 178

页码: 1-16

4 . 7 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:102

中科院分区:2

被引次数:

WoS核心集被引频次: 23

SCOPUS被引频次: 25

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 1

在线人数/总访问数:610/2914772
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司