This shape could be tetrahedral...
The class of analysis models based on finite element analysis.
This is the class of numerical analysis models that are based on the finite difference method. Finite difference methods involve discretization of the continuum with a grid and finite difference approximations of derivatives at the grid points.
This is the general class of engineering analysis models
Some continuum models admit analytical solutions, such as beam bending or plate bending problems, 1-D heat conduction or fluid flow, or multi-dimensional models having regular geometry and uniform homogeneous material properties.
this is the analysis model classes involving a combination of two or more numerical techiques, such as FEM and BEM
This class is where different Finite Elelement Model element types are created. For example, a shell or brick element may reside here.
Analysis models may consist of multiple components, with each component have specific modeling idealizations. This class supports this decomposition of analysis model into a set of components. It also supports the concept of super and sub model components for capture hierarchical analysis modeling.
This is the class of numerical analysis models that are based on the boundary element method. In BEM models, the exterior and intermaterial surfaces are discretized with boundary elements.
This elelment was constructed on the basis of these attributes.
This component is used in these finite element models
This is a list of the individual components of this analysis model which are instances of the model component class. Individual model components may have their own specific limitations and idealizations. All models have at least one component.
specify the meshing scheme used by this model
qualitative assessment of the ability of the analysis model to deliver output parameter results for different analyses that can be resolved. For example, the analysis model may have low accuracy and yet still be able to reveal trends over multiple analyses due to changes in input parameters
This property is to be use on a comparison basis, use higher values to represent greater accuracy
This is the element shape on which this element is based.
Robustness is a measure of the numerical stability of the analysis model to minor variations of input parameters or instability due to input parameters that are out of bounds combined with the model's or analysis tool's inability to detect and error trap this situation. Note that analysis models that predict inherently unstable phenomenon may exhibit unstable behavior and yet still be considered robust.
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