Earticle

초록

영어

In order to reduce the data storage and improve data compression ratio of the stiffness matrix of 3D finite element, after analyzed the relationship between nonzero submatrix and generalized adjacent nodes of the stiffness matrix, this paper proposes an improved stiffness matrix compression algorithm, which combined negative sign compressed sparse line and a rider to store binary classification method. Then the improved algorithm is applied to the storage of the stiffness matrix of 3D-FEM. Through experimental simulation, the results show that this method saves a lot of storage space to ensure the validity of data for finite element analysis.

목차

Abstract
 1. Introduction
 2. Storage Method of the Stiffness Matrix based on CSR
  2.1 Traditional CSR Storage Method of the Stiffness Matrix
  2.2 CSR storage Method based on the Distribution Law of Nonzero Submatrix
  2.3 Negative Sign CSR Storage Method
  2.4 Generation of Stiffness Matrix
 3. Storage Method based on Rider Binary Classification
  3.1 Stiffness Matrix Compression and Storage Method based on Rider Binary Classification
  3.2 The Stiffness Matrix Storage and Reading Algorithm based on Rider Binary Classification and Negative Sign CSR
 4. Algorithm Verification
  4.1 A Stiffness Matrix
  4.2 Beam Model
 5. Conclusions
 ACKNOWLEDGEMENTS
 References

키워드

저자

• Pei Dongmei [ Computer and Information Engineering College, Inner Mongolia Normal University, Hohhot, China ]
• Meng Fanjun [ Computer and Information Engineering College, Inner Mongolia Normal University, Hohhot, China ]
• Wang HaiLong [ College of Network Technology Inner Mongolia Normal University, Hohhot, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605