hookeai.simulators.fetorch.material.models.standard.lou¶
Lou-Zhang-Yoon model with general differentiable yield function.
This module includes the implementation of the Lou-Zhang-Yoon model with general differentiable yield function and isotropic hardening.
The apex singularity is handled by means of a purely volumetric return-mapping along the hydrostatic axis.
It also includes several tools to check the yield surface convexity.
Classes¶
- LouZhangYoon
Lou-Zhang-Yoon model with general differentiable yield function.
Functions
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Convert all floating point torch tensors in dictionary to torch.float32. |
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Convert all floating point torch tensors in dictionary to torch.float64. |
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Convert all int, float and bool in dictionary to torch.Tensor. |
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Convert floating point torch tensor to torch.float64. |
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Derivative of inverse of symmetric second-order tensor w.r.t. |
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Set common second- and fourth-order identity operators. |
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Get parameters dependent on the problem type. |
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Plot data in xy axes. |
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Save Matplotlib figure. |
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Build 2D counterpart of 3D second- or fourth-order tensor. |
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Build 3D counterpart of 2D second-order tensor. |
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Recover tensor from associated matricial form. |
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Get tensor matricial form. |
Classes
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Material constitutive model interface. |
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Linear elastic constitutive model. |
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Lou-Zhang-Yoon model with general differentiable yield function. |