0
TECHNICAL PAPERS

A Pressure Projection Method for Nearly Incompressible Rubber Hyperelasticity, Part I: Theory

[+] Author and Article Information
Jiun-Shyan Chen, Chunhui Pan

Department of Mechanical Engineering and Center for Computer-Aided Design, The University of Iowa, 2133 Engineering Building, Iowa City, IA 52242-1527

J. Appl. Mech 63(4), 862-868 (Dec 01, 1996) (7 pages) doi:10.1115/1.2787240 History: Received May 18, 1995; Revised November 28, 1995; Online October 26, 2007

Abstract

A least-squares-based pressure projection method is proposed for the nonlinear analysis of nearly incompressible hyperelastic materials. The strain energy density function is separated into distortional and dilatational parts by the use of Penn’s invariants such that the hydrostatic pressure is solely determined from the dilatational strain energy density. The hydrostatic pressure and hydrostatic pressure increment calculated from displacements are projected onto appropriate pressure fields through the least-squares method. The method is applicable to lower and higher order elements and the projection procedures can be implemented into the displacement based nonlinear finite element program. By the use of certain pressure interpolation functions and reduced integration rules in the pressure projection equations, this method can be degenerated to a nonlinear version of the selective reduced integration method.

Copyright © 1996 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Related

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In