期刊文献+

网格法用于大应变的确定 被引量:2

The Grid Method for Large Strain
下载PDF
导出
摘要 此文对网格法作了回顾总结,详细说明了网格法的基本原理,阐述了至今用于网格制作、记录和分析网格的各种实验技术和数据处理技术,简要介绍了近期国内外在网格法研究和应用方面的新动向,并指出了一些研究方向. This paper presents a brief review of the grid method and discribes the basic principle and various experimental and data-processing techniques using for grid-making,recording and analyzing grid so far,new developments are introduced of the recent activities in research and applications,and some subjects are given.
机构地区 安徽工学院
出处 《金属成形工艺》 北大核心 1996年第4期39-43,共5页 Metal Forming Technology
关键词 大应变 实验应变分析 网格法 材料力学 Grid Method Large Strain Experimental Strain Analysis
  • 相关文献

同被引文献21

  • 1方钦志,李慧敏,欧阳小东,赵泳.图像相关法在高分子材料拉伸性能研究中的应用[J].实验力学,2006,21(4):459-466. 被引量:10
  • 2陶永发,重型机械,1985年,12期,16页
  • 3汪大年,金属塑形成形原理,1982年,232页
  • 4Huang Y H,Liu L,Sham F C.Optical strain gauge vs.traditional st rain gauges for concrete elasticity modulus determination Original Research[J].International Journal for Light and Electro n Optics,2010,18(121):1635-1641.
  • 5Heckmann U, Bandorf R, Gerdes H.New materials for sputtered strai n gauges[J].Procedia Chemistry,2009,1(1):64-67.
  • 6Gafitanua M,Barsanescub P D,Poterasu V F.Measurement errors res ulting from the strain gauge integration effect[J].International Journal of Pressure Vessels and Piping,1990,2(41):127-139.
  • 7Dudescu C,Naumann J,Stockmann M,et al.Character-isation of the rmal expansion coefficient of anisotropic mate-rials by electronic speckle pattern interferometry[J].Strain,2006,42(3):197-205.
  • 8Sutton M A,Cheng M,Peters W H,et al.Application of an opti mized digital correlation method to planar deformation analysis[J].Image Vision Comput.,1986,4(3):143-150.
  • 9Sutton M A,Ke X,Lessner S M,et al.Schreier,strain field measure ments on mouse carotid arteries using microscopic three-dimensional digital image correlation[J].J.Biomed Mater Res A,2008,84:178-190.
  • 10JIN Yi,FENG Ming-chi,LUO Tao,et al.A sensor for large strai n deformation measurement with automated grid method based on machine vision[J].Intelligent Robotics and Applications,2013,(8103):417-428.

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部