Constitutive models of rubber elasticity: A review

By Mary C. Boyce, E. Arruda. 2000

1,174 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Fluid Flow and Transfer Processes, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/95f11aad03aa1bfc4577a4328901b315a3a323f9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

In Fluid Flow and Transfer Processes

In Polymers and Plastics

Citations in the corpus

A model of incompressible isotropic hyperelastic material behavior using spline interpolations of tension–compression test data (2009, methodology): “Incompressible isotropic hyperelastic material behavior in finite element analysis [1] is usually described using one of the available hyperelasticity models, such as the Mooney–Rivlin, Ogden, and Arruda–Boyce models [2].”
An explicit, direct approach to obtaining multiaxial elastic potentials that exactly match data of four benchmark tests for rubbery materials—part 1: incompressible deformations (2012, background): “classical data, extensive figures and data for the purpose of model comparison are presented in Boyce and Arruda [13] and not reproduced here.”
Deflections of a rubber membrane (2006, background): “…Truesdell and Noll, 1992) the reader is referred to Deam and Edwards (1976), Ogden (1984), Lur’e (1990), Drozdov (1996), Dorfmann and Muhr (1999), Boyce and Arruda (2000), Fu and Ogden (2001), Besdo et al. (2001), Busfield and Muhr (2003) and Saccomandi and Ogden (2004) for in-depth reviews of…”
A review of constitutive models for rubber-like materials (2010, methodology): “In this approach, stress and strain analysis problems may be solved independent of the microscopic system or molecular concepts and the elasticity theory can be the starting point of any kind of modeling effort as fo llows (Boyce and Arruda, 2000; Achenbach and Duarte, 2003; Pucci and Saccomandi, 20”
Similarity measures for identifying material parameters from hysteresis loops using inverse analysis (2018, background): “In some applications constitutive parameters can be determined by a curve fit from experimental data as done with a number of generalized polynomial strain energy models [1].”
Remodeling of biological tissue: Mechanically induced reorientation of a transversely isotropic chain network (2004, background): “As pointed out by Boyce [6] and Boyce & Arruda [7], statistical, microscopically motivated models are typically characterized by a limited number of well-defined, physically-motivated material parameters.”