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BlatzKo

Struct BlatzKo 

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pub struct BlatzKo {
    pub bulk_modulus: Quantity<Stress>,
    pub shear_modulus: Quantity<Stress>,
    pub mixing_parameter: Scalar,
}
Expand description

The Blatz-Ko hyperelastic solid constitutive model.1

Parameters

  • The bulk modulus $\kappa$.
  • The shear modulus $\mu$.
  • The mixing parameter $f$.

External variables

  • The deformation gradient $\mathbf{F}$.

Internal variables

  • None.

Notes

  • The parameter $n = \kappa/2\mu - 1/3$ is determined by the bulk and shear moduli.
  • This model reduces to the rubber case when $f\to 1$ and to the foam case when $f\to 0$.
  • In the tangent stiffness, $K = (1-f)J^{2n} - fJ^{-2n}$ and $K' = 2n\left[(1-f)J^{2n} + fJ^{-2n}\right]$.

  1. P.J. Blatz and W.L. Ko, Trans. Soc. Rheol. 6, 223 (1962)

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§bulk_modulus: Quantity<Stress>

The bulk modulus $\kappa$.

§shear_modulus: Quantity<Stress>

The shear modulus $\mu$.

§mixing_parameter: Scalar

The mixing parameter $f$.

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impl BlatzKo

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pub fn mixing_parameter(&self) -> Scalar

Returns the mixing parameter.

Trait Implementations§

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impl Clone for BlatzKo

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fn clone(&self) -> BlatzKo

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for BlatzKo

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Elastic for BlatzKo

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fn cauchy_stress( &self, deformation_gradient: &DeformationGradient, ) -> Result<CauchyStress, ConstitutiveError>

\boldsymbol{\sigma}(\mathbf{F}) = \frac{\mu}{J}\Big\{f\mathbf{B} - (1 - f)\mathbf{B}^{-1} + \left[(1-f)J^{2n} - fJ^{-2n}\right]\mathbf{1}\Big\}
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fn cauchy_tangent_stiffness( &self, deformation_gradient: &DeformationGradient, ) -> Result<CauchyTangentStiffness, ConstitutiveError>

\begin{aligned}
\mathcal{T}_{ijkL}(\mathbf{F}) =
\,& \frac{\mu f}{J}\Big[\delta_{ik}F_{jL} + \delta_{jk}F_{iL} - B_{ij}F_{kL}^{-T}\Big]
\\
&+ \frac{\mu(1-f)}{J}\Big[B_{ik}^{-1}F_{jL}^{-T} + F_{iL}^{-T}B_{jk}^{-1} + B_{ij}^{-1}F_{kL}^{-T}\Big]
\\
&+ \frac{\mu}{J}\left(K' - K\right)\delta_{ij}F_{kL}^{-T}
\end{aligned}
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fn first_piola_kirchhoff_stress( &self, deformation_gradient: &DeformationGradient, ) -> Result<FirstPiolaKirchhoffStress, ConstitutiveError>

Calculates and returns the first Piola-Kirchhoff stress. Read more
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fn first_piola_kirchhoff_tangent_stiffness( &self, deformation_gradient: &DeformationGradient, ) -> Result<FirstPiolaKirchhoffTangentStiffness, ConstitutiveError>

Calculates and returns the tangent stiffness associated with the first Piola-Kirchhoff stress. Read more
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fn second_piola_kirchhoff_stress( &self, deformation_gradient: &DeformationGradient, ) -> Result<SecondPiolaKirchhoffStress, ConstitutiveError>

Calculates and returns the second Piola-Kirchhoff stress. Read more
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fn second_piola_kirchhoff_tangent_stiffness( &self, deformation_gradient: &DeformationGradient, ) -> Result<SecondPiolaKirchhoffTangentStiffness, ConstitutiveError>

Calculates and returns the tangent stiffness associated with the second Piola-Kirchhoff stress. Read more
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impl Hyperelastic for BlatzKo

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fn helmholtz_free_energy_density( &self, deformation_gradient: &DeformationGradient, ) -> Result<Quantity<EnergyDensity>, ConstitutiveError>

a(\mathbf{F}) = \frac{\mu}{2}\left\{f\left[I_1 - 3 + \frac{1}{n}\left(I_3^{-n} - 1\right)\right] + (1-f)\left[\frac{I_2}{I_3} - 3 + \frac{1}{n}\left(I_3^n - 1\right)\right]\right\}
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impl Solid for BlatzKo

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fn bulk_modulus(&self) -> Quantity<Stress>

Returns the bulk modulus.
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fn shear_modulus(&self) -> Quantity<Stress>

Returns the shear modulus.
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fn jacobian<I, J>( &self, deformation_gradient: &DeformationGradientGeneral<I, J>, ) -> Result<Scalar, ConstitutiveError>

Calculates and returns the Jacobian.

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
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fn borrow_mut(&mut self) -> &mut T

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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. Read more
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impl<C> Constitutive for C
where C: Solid,

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impl<T> FirstOrderMinimize for T
where T: Hyperelastic,

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fn minimize( &self, applied_load: AppliedLoad, solver: impl FirstOrderOptimization<Quantity<Stress>, TensorRank2<3, Current, Reference, Stress>, TensorRank2<3, Current, Reference>>, ) -> Result<TensorRank2<3, Current, Reference>, ConstitutiveError>

Solve for the unknown components of the deformation gradient under an applied load. Read more
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impl<T> FirstOrderRoot for T
where T: Elastic,

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fn root( &self, applied_load: AppliedLoad, solver: impl FirstOrderRootFinding<TensorRank2<3, Current, Reference, Stress>, TensorRank4<3, Current, Reference, Current, Reference, Stress>, TensorRank2<3, Current, Reference>>, ) -> Result<TensorRank2<3, Current, Reference>, ConstitutiveError>

Solve for the unknown components of the deformation gradient under an applied load. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> Is<T> for T

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impl<T> SecondOrderMinimize for T
where T: Hyperelastic,

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fn minimize( &self, applied_load: AppliedLoad, solver: impl SecondOrderOptimization<Quantity<Stress>, TensorRank2<3, Current, Reference, Stress>, TensorRank4<3, Current, Reference, Current, Reference, Stress>, TensorRank2<3, Current, Reference>>, ) -> Result<TensorRank2<3, Current, Reference>, ConstitutiveError>

Solve for the unknown components of the deformation gradient under an applied load. Read more
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type Owned = T

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type Error = Infallible

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Performs the conversion.
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impl<T> ZerothOrderRoot for T
where T: Elastic,

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fn root( &self, applied_load: AppliedLoad, solver: impl ZerothOrderRootFinding<TensorRank2<3, Current, Reference, Stress>, TensorRank2<3, Current, Reference>>, ) -> Result<TensorRank2<3, Current, Reference>, ConstitutiveError>

Solve for the unknown components of the deformation gradient under an applied load. Read more