What's New

This page describes recent changes in Abaqus materials.

This page discusses:

R2022x FD01 (FP.2205)

Anisotropic Yield

Anisotropic yield can now be used with the extended Drucker-Prager and crushable foam plasticity models.
Anisotropic yield is used for materials that exhibit different yield behavior in different directions, mostly for composite materials. You can now use anisotropic yield with the extended Drucker-Prager plasticity model for pressure-dependent yield or with the crushable foam plasticity model for energy absorption structures. Previously, you could use anisotropic yield only with metal plasticity and critical state (clay) plasticity.
Benefits: This feature extends the material modeling capabilities in Abaqus.
For more information, see Hill Anisotropic Yield/Creep

Multiscale Material Modeling in Abaqus/Explicit

Multiscale material modeling is now available in Abaqus/Explicit.
You can now use mean-field homogenization to model composite materials in Abaqus/Explicit. Previously, this material model was available only in Abaqus/Standard. The mean-field homogenization approach is used for multiscale material modeling. This approach can calculate composite responses using properties of the constituents; it can also decompose the composite strain into constituent strains and compute the constituent-level responses. The mean-field homogenization approach can be useful to predict behaviors of fiber-reinforced composite assembly parts manufactured through the injection molding process; it can also be useful to model progressive failure of fiber-reinforced composites by modeling failure at the constituent level.

In the example below, the fiber orientation is predicted by an injection molding simulation, as shown in the first figure. The model is then reduced to a simple cylinder, and a rigid rod is added to the model to simulate a service load, as shown in the second figure. The fiber orientation tensor field is mapped from the injection molded part to the reduced model, as shown in second figure.

There is a "weld line" in the cylinder caused by the gate location in the injection molding process; the weld line is the line where the flow fronts meet during the molding process and can result in weakness of the structure. The structural analysis is carried out with Abaqus/Explicit, and a multiscale material is used to model the plastic part. Plasticity with ductile damage is specified in the matrix material, and damage evolution is also specified. The third figure shows the deformed shape of the cylinder. As expected, the failure location agrees very well with the location of the weld line.







Benefits: This feature extends the multiscale material modeling capabilities in Abaqus.
For more information, see Mean-Field Homogenization

Plasticity Corrections

You can now use Neuber and Glinka plasticity corrections to estimate the effects of plasticity in a model analyzed with purely elastic material.
Plasticity corrections provide an efficient method to evaluate the extent of plasticity in a structure based on a purely linear elastic solution.

Two types of plasticity correction are now available in Abaqus: Neuber and Glinka. Both methods apply a correction to the elastic results to capture the effects of local plasticity. The accuracy of the solution is generally quite good when the loading conditions lead to plastic deformation localized in small regions, such as in typical durability load cases. However, a full nonlinear analysis is recommended for loading conditions that lead to extended plastic deformation of the structure. In addition to the general static procedure, the Neuber and Glinka plasticity corrections are supported with the static linear perturbation procedure with multiple load cases, which can further substantially decrease the analysis time.

To illustrate the application of the method, consider a Body-in-White (BIW) model of a car subjected to the boundary conditions and loads shown in the first figure (courtesy of the Public Finite Element Model Archive of the National Crash Analysis Center at George Washington University). The stresses and plastic strains in the car body component highlighted in the figure are estimated using the Neuber and Glinka rules with a linear elastic analysis. The results are compared with those obtained from a full nonlinear elastic-plastic analysis. The stress and plastic strain results are presented in the second and third figures, respectively. The predictions based on plasticity corrections show good agreement with those obtained using a full elastic-plastic analysis, which is expected because plastic deformation is highly localized in small areas of the part. The Neuber's rule overestimates the equivalent stress and plastic strain, which is usually the case. As expected, the Glinka equivalent stress and plastic strain are lower than Neuber’s values. In this case, Glinka's rule slightly underestimates the elastic-plastic results.







Benefits: This method provides a substantial computational cost reduction compared to a full nonlinear elastic-plastic analysis, which is particularly valuable in optimization studies during the early design phase of a product or for concept design workflows.
For more information, see Plasticity Corrections

Valanis-Landel Hyperelastic Model

You can now define the volumetric response of the Valanis-Landel hyperelastic model by providing volumetric test data.
The Valanis-Landel model is an isotropic hyperelastic model in which the strain energy function is determined numerically from test data that you specify. The model can reproduce both compressive and tensile test data exactly. Previously, you could define the volumetric response of the model either by specifying a constant value of the Poisson’s ratio or by providing lateral strain information from a uniaxial test.

In the example below, the Valanis-Landel material is used to model the rubber sealing in the boot seal assembly shown in the first figure. The shaft is modeled as a rigid body, and contact is specified between the shaft and the inner surface of the seal. The shaft is first rotated 20° about the axis perpendicular to the shaft, and then the angulated shaft moves around the entire circumference. Two analyses were performed with the same Valanis-Landel material defined using two different methods.

In the first case, the material was defined by providing uniaxial test data with lateral strains shown in the second figure. In the second case, an equivalent material definition using uniaxial test data without lateral strains (dashed line in the second figure) and the volumetric test data (third figure) was used. As expected, the stress results are identical in both cases because the same material response was specified using two different methods. The stress distribution in the seal at the end of the analysis is shown in the fourth figure.









Benefits: This enhancement allows you to optionally specify volumetric test data to calibrate the volumetric response of the model. This is convenient in cases when volumetric test data and uniaxial test data without lateral strains are available.
For more information, see Hyperelastic Behavior of Rubberlike Materials

No Compression and No Tension Elasticity Models in Abaqus/Explicit

The no compression and no tension models for linear elasticity are now available in Abaqus/Explicit.
The no compression and no tension models are intended to model linear elastic structures where compressive or tensile principal stresses should not be generated. Examples include cables and membrane structures with no compression stiffness. You can now use these models in Abaqus/Explicit. Previously, they were available only in Abaqus/Standard.
Benefits: The availability of the no compression and no tension models in Abaqus/Explicit expands the Abaqus materal modeling capabilities.
For more information, see No Compression or No Tension

R2022x GA

Yield Stress Extrapolation

You can now extend the linear hardening behavior to a larger strain range.
You can now choose the method used to evaluate the yield stress outside the specified range of equivalent plastic strains. Previously, a constant value of yield stress was used outside this range. Now, in addition to constant extrapolation, linear extrapolation is available. For linear extrapolation, Abaqus evaluates the yield stress outside the specified range by assuming that the slope given by the two end points of the data remains constant. If you specify linear extrapolation, it affects only the extrapolation of the yield stress with respect to the equivalent plastic strain; constant extrapolation is still used with respect to other independent variables (for example, temperature and predefined field variables).

This functionality provides an easy way to extend the linear hardening behavior to a larger strain range. This behavior is often preferable to using a constant value, meaning that the material is perfectly plastic, which might cause convergence problems. Although you can define linear hardening without this functionality by adding one additional data point, it is inconvenient since it requires guessing the range in which the equivalent plastic strain changes during the analysis. In addition, specifying a data point at a very large value of equivalent plastic strain might cause the regularization scheme in Abaqus/Explicit to fail. You can avoid the issues above by specifying linear extrapolation using this new capability.

Benefits: You can now use constant or linear extrapolation to evaluate the yield stress outside the specified data range.
For more information, see Material Data Definition