Replies: 1 comment 1 reply
-
|
This is already possible - we call this embedded in the docs. You can do |
Beta Was this translation helpful? Give feedback.
1 reply
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
Trying to implement a mixed formulation for a shell I have as fields the displacement, which is vector valued (from a domain in \R² into \R³) and the gradient of the displacement (from a domain in \R² into \R^{3 x 2]). To create shape-functions for the latter field either requires to define tensor valued shape functions (order 2, dimensions 2 and 3) or to define a vector valued shape function in \R⁶. The second option seems straightforward, but is currently not possible, because Tensors.jl does not support tensors with dimensions larger than 3.
Is theré a way to circumvent this problem, or might it be possible to extend the functionality of Ferrite to such cases? Many thanks in advance for your consideration.
Beta Was this translation helpful? Give feedback.
All reactions