- c_alphaViscoplasticity coefficient, scales the hyperbolic function
C++ Type:double

Description:Viscoplasticity coefficient, scales the hyperbolic function

- yield_stressThe point at which plastic strain begins accumulating
C++ Type:double

Description:The point at which plastic strain begins accumulating

- c_betaViscoplasticity coefficient inside the hyperbolic sin function
C++ Type:double

Description:Viscoplasticity coefficient inside the hyperbolic sin function

- hardening_constantHardening slope
C++ Type:double

Description:Hardening slope

# Hyperbolic Viscoplasticity Stress Update

This class uses the discrete material for a hyperbolic sine viscoplasticity model in which the effective plastic strain is solved for using a creep approach.

## Description

In this numerical approach, a trial stress is calculated at the start of each simulation time increment; the trial stress calculation assumed all of the new strain increment is elastic strain: (1)

The algorithms checks to see if the trial stress state is outside of the yield surface, as shown in the figure to the right. If the stress state is outside of the yield surface, the algorithm recomputes the scalar effective inelastic strain required to return the stress state to the yield surface. This approach is given the name Radial Return because the yield surface used is the von Mises yield surface: in the devitoric stress space , this yield surface has the shape of a circle, and the scalar inelastic strain is assumed to always be directed at the circle center.

### Recompute Iterations on the Effective Plastic Strain Increment

The recompute radial return materials each individually calculate, using the Newton Method, the amount of effective inelastic strain required to return the stress state to the yield surface. (2) where the change in the iterative effective inelastic strain is defined as the yield surface over the derivative of the yield surface with respect to the inelastic strain increment.

This uniaxial viscoplasticity class computes the plastic strain as a stateful material property. The constitutive equation for scalar plastic strain rate used in this model is (3)

This class is based on the implicit integration algorithm in Dunne and Petrinic (2005) pg. 162–163.

## Example Input File Syntax

```
[./viscoplasticity]
type = HyperbolicViscoplasticityStressUpdate
yield_stress = 10.0
hardening_constant = 100.0
c_alpha = 0.2418e-6
c_beta = 0.1135
[../]
```

(moose/modules/tensor_mechanics/test/tests/recompute_radial_return/uniaxial_viscoplasticity_incrementalstrain.i)`HyperbolicViscoplasticityStressUpdate`

must be run in conjunction with the inelastic strain return mapping stress calculator as shown below:

```
[./radial_return_stress]
type = ComputeMultipleInelasticStress
inelastic_models = 'viscoplasticity'
tangent_operator = elastic
[../]
```

(moose/modules/tensor_mechanics/test/tests/recompute_radial_return/uniaxial_viscoplasticity_incrementalstrain.i)## Input Parameters

- relative_tolerance1e-08Relative convergence tolerance for Newton iteration
Default:1e-08

C++ Type:double

Description:Relative convergence tolerance for Newton iteration

- max_inelastic_increment0.0001The maximum inelastic strain increment allowed in a time step
Default:0.0001

C++ Type:double

Description:The maximum inelastic strain increment allowed in a time step

- base_nameOptional parameter that defines a prefix for all material properties related to this stress update model. This allows for multiple models of the same type to be used without naming conflicts.
C++ Type:std::string

Description:Optional parameter that defines a prefix for all material properties related to this stress update model. This allows for multiple models of the same type to be used without naming conflicts.

- max_its30Maximum number of Newton iterations
Default:30

C++ Type:unsigned int

Description:Maximum number of Newton iterations

- acceptable_multiplier10Factor applied to relative and absolute tolerance for acceptable convergence if iterations are no longer making progress
Default:10

C++ Type:double

Description:Factor applied to relative and absolute tolerance for acceptable convergence if iterations are no longer making progress

- absolute_tolerance1e-11Absolute convergence tolerance for Newton iteration
Default:1e-11

C++ Type:double

Description:Absolute convergence tolerance for Newton iteration

- boundaryThe list of boundary IDs from the mesh where this boundary condition applies
C++ Type:std::vector

Description:The list of boundary IDs from the mesh where this boundary condition applies

- blockThe list of block ids (SubdomainID) that this object will be applied
C++ Type:std::vector

Description:The list of block ids (SubdomainID) that this object will be applied

### Optional Parameters

- effective_inelastic_strain_nameeffective_plastic_strainName of the material property that stores the effective inelastic strain
Default:effective_plastic_strain

C++ Type:std::string

Description:Name of the material property that stores the effective inelastic strain

- enableTrueSet the enabled status of the MooseObject.
Default:True

C++ Type:bool

Description:Set the enabled status of the MooseObject.

- use_displaced_meshFalseWhether or not this object should use the displaced mesh for computation. Note that in the case this is true but no displacements are provided in the Mesh block the undisplaced mesh will still be used.
Default:False

C++ Type:bool

Description:Whether or not this object should use the displaced mesh for computation. Note that in the case this is true but no displacements are provided in the Mesh block the undisplaced mesh will still be used.

- control_tagsAdds user-defined labels for accessing object parameters via control logic.
C++ Type:std::vector

Description:Adds user-defined labels for accessing object parameters via control logic.

- seed0The seed for the master random number generator
Default:0

C++ Type:unsigned int

Description:The seed for the master random number generator

- implicitTrueDetermines whether this object is calculated using an implicit or explicit form
Default:True

C++ Type:bool

Description:Determines whether this object is calculated using an implicit or explicit form

- constant_onNONEWhen ELEMENT, MOOSE will only call computeQpProperties() for the 0th quadrature point, and then copy that value to the other qps.When SUBDOMAIN, MOOSE will only call computeSubdomainProperties() for the 0th quadrature point, and then copy that value to the other qps. Evaluations on element qps will be skipped
Default:NONE

C++ Type:MooseEnum

Description:When ELEMENT, MOOSE will only call computeQpProperties() for the 0th quadrature point, and then copy that value to the other qps.When SUBDOMAIN, MOOSE will only call computeSubdomainProperties() for the 0th quadrature point, and then copy that value to the other qps. Evaluations on element qps will be skipped

### Advanced Parameters

- internal_solve_output_onon_errorWhen to output internal Newton solve information
Default:on_error

C++ Type:MooseEnum

Description:When to output internal Newton solve information

- internal_solve_full_iteration_historyFalseSet true to output full internal Newton iteration history at times determined by `internal_solve_output_on`. If false, only a summary is output.
Default:False

C++ Type:bool

Description:Set true to output full internal Newton iteration history at times determined by `internal_solve_output_on`. If false, only a summary is output.

### Debug Parameters

- output_propertiesList of material properties, from this material, to output (outputs must also be defined to an output type)
C++ Type:std::vector

Description:List of material properties, from this material, to output (outputs must also be defined to an output type)

- outputsnone Vector of output names were you would like to restrict the output of variables(s) associated with this object
Default:none

C++ Type:std::vector

Description:Vector of output names were you would like to restrict the output of variables(s) associated with this object

### Outputs Parameters

## References

- Fionn Dunne and Nik Petrinic.
*Introduction to Computational Plasticity*. Oxford University Press on Demand, 2005.[BibTeX]