- ABAQUS 6.14 EDGE SEED BIAS SOFTWARE
- ABAQUS 6.14 EDGE SEED BIAS SERIES
- ABAQUS 6.14 EDGE SEED BIAS CRACK
The results show that the four implementation variations are very similar, with total relative errors between 10 − 3 and 10 − 15, number of iterations that varied by maximum one iteration, and a comparable CPU time. In these test cases, stresses, displacements, reaction forces, the required number of iterations and the total CPU time were compared.
ABAQUS 6.14 EDGE SEED BIAS SERIES
All cases are thoroughly verified by applying a series of deformations on a single cube element and by simulating an extension-inflation experiment with non-homogeneous deformations and multiple elements. In addition, three different element formulations are used: a continuum compressible, a continuum incompressible and a plane stress incompressible. The Gasser-Ogden-Holzapfel material model is used as an example, resulting in four implementation variations: the built-in implementation, a UANISOHYPER_INV formulation, a UMAT with analytical tangent stiffness formulation and a UMAT with numerical tangent stiffness formulation. This paper provides a detailed description, at the level of the biomedical engineer, of the implementation of a nonlinear hyperelastic material model using user subroutines in Abaqus®, in casu UANISOHYPER_INV and UMAT. This is a complex undertaking, requiring extensive knowledge while documentation is limited. However, since these pre-programmed models are presented to the user as a black box, without the possibility to modify the material description, many researchers turn to implementing their own material formulations.
ABAQUS 6.14 EDGE SEED BIAS SOFTWARE
Pre-programmed material models for biological tissues are available in many finite element software packages. Using an adequate material model that describes the mechanical behavior of biological tissues is essential for a reliable outcome of the simulation. The benefit is much higher when GPUs are used instead of additional CPUs.Finite element modeling is often used in biomechanical engineering to evaluate medical devices, treatments and diagnostic tools.
The staircase pattern shows wider steps with increasing cores for both curves, highlighting the fact that it is cost-effective when more CPU cores are used. Adding 1 or 2 GPUs to 16 CPU cores increases the CPU core count to 17 or 18 respectively, but the number of tokens would remain at 16, as shown by the pair of red dots. The second dotted line shown at the 16-core mark on the primary X-axis indicates that for 16 CPU cores, 16 tokens are required.If a GPU is included in the simulation run, the CPU core count is 9 but the number of tokens remains at 12, as shown by the single red dot. Suggestions are needed regarding the the methods ( XFEM, J integral, etc.,) which will predict the crack.
ABAQUS 6.14 EDGE SEED BIAS CRACK
The staircase pattern in these curves shows how the increase in the required number of tokens decays as the number of CPU cores increases. The blue curve represents the CPU-only case, while the green curve represents the CPU and GPU case.