Hello
I created a viscoporoelastic spherical indentation model with a quarter symmetry.
The idea was to conduct a mesh sensitivity analysis and observe how and if the result would change for finer or coarser meshes. The other parameters were kept unchanged. However, when doubling the elements of the model or dividing them by e.g. 1.5 times, the model does not terminate normally anymore. The error occurring is: Negative Jacobian.
‘Default’ model parameters:
- indenter radius: 0.5mm
- tet4 elements for indenter: 1831
- linear hex elements for sample: 13875
The mesh was created in ABAQUS and then imported in FEBio.
- biphasic contact formulation
- indenter: rigid body (impermeable)
- sample:
E: 5 kPa
v: 0.075
k: 1.7e-2
gamma1: 1.844
tau1: 58
- force-controlled
- laugon: ON
- tol: 0.01
- gaptol: 1e-6
- penalty: 10
- two_pass: Off
- auto_penalty: On
Afterwards, I tried it with penalty = 1 and set the tolerance down to 0.0001. But the model did not converge yet. Unfortunately, the model exceeds the limit for the upload.
I would be very thankful for inputs how to adapt the parameter and what could cause this behaviour.
Moon
I created a viscoporoelastic spherical indentation model with a quarter symmetry.
The idea was to conduct a mesh sensitivity analysis and observe how and if the result would change for finer or coarser meshes. The other parameters were kept unchanged. However, when doubling the elements of the model or dividing them by e.g. 1.5 times, the model does not terminate normally anymore. The error occurring is: Negative Jacobian.
‘Default’ model parameters:
- indenter radius: 0.5mm
- tet4 elements for indenter: 1831
- linear hex elements for sample: 13875
The mesh was created in ABAQUS and then imported in FEBio.
- biphasic contact formulation
- indenter: rigid body (impermeable)
- sample:
E: 5 kPa
v: 0.075
k: 1.7e-2
gamma1: 1.844
tau1: 58
- force-controlled
- laugon: ON
- tol: 0.01
- gaptol: 1e-6
- penalty: 10
- two_pass: Off
- auto_penalty: On
Afterwards, I tried it with penalty = 1 and set the tolerance down to 0.0001. But the model did not converge yet. Unfortunately, the model exceeds the limit for the upload.
I would be very thankful for inputs how to adapt the parameter and what could cause this behaviour.
Moon
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