Strain energy potential

Abaqus uses a strain energy potential (U), rather than a Young's modulus and Poisson's ratio, to relate stresses to strains in hyperelastic materials. Several different strain energy potentials are available: a polynomial model, the Ogden model, the Arruda-Boyce model, the Marlow model, and the van der Waals model. Simpler forms of the polynomial model are also available, including the Mooney-Rivlin, neo-Hookean, reduced polynomial, and Yeoh models.

The polynomial form of the strain energy potential is one that is commonly used. Its form is

U=i+j=1NCij(I¯1-3)i(I¯2-3)j+i=1N1Di(Jel-1)2i,

where U is the strain energy potential; Jel is the elastic volume ratio; I¯1 and I¯2 are measures of the distortion in the material; and N, Cij, and Di are material parameters, which may be functions of temperature. The Cij parameters describe the shear behavior of the material, and the Di parameters introduce compressibility. If the material is fully incompressible (a condition not allowed in Abaqus/Explicit), all the values of Di are set to zero and the second part of the equation shown above can be ignored. If the number of terms, N, is one, the initial shear modulus, μ0, and bulk modulus, K0, are given by

μ0=2(C01+C10),

and

K0=2D1.

If the material is also incompressible, the equation for the strain energy density is

U=C10(I¯1-3)+C01(I¯2-3).

This expression is commonly referred to as the Mooney-Rivlin material model. If C01 is also zero, the material is called neo-Hookean.

The other hyperelastic models are similar in concept and are described in Hyperelasticity.

You must provide Abaqus with the relevant material parameters to use a hyperelastic material. For the polynomial form these are Cij and Di. It is possible that you will be supplied with these parameters when modeling hyperelastic materials; however, more likely you will be given test data for the materials that you must model. Fortunately, Abaqus can accept test data directly and calculate the material parameters for you (using a least squares fit).