Working on automated parameterised meshing of #FiniteElementAnalysis of periodic auxetic structures.
#Julialang #ComputationalMechanics #ComputationalDesign #Comodo #opensource
More on auxetic structures:
https://en.wikipedia.org/wiki/Auxetics
Built using the Comodo project:
https://github.com/COMODO-research/Comodo.jl
The result of the getting started notebook of #felupe, which is deployed by #jupyterlite on #github, is now ready-to-visualize directly in the browser, thanks to #jupyterview!
https://adtzlr.github.io/felupe-web/lab?path=01_Getting-Started.ipynb
Merry Christmas everyone (...if you're living in a culture where this is celebrated). 
It's time to take a break from business as usual - get your batteries reloaded! 
(This is a hyperelastic Mooney-Rivlin christmas tree under varying body forces.)
Hello, world! Wait, for a nonlinear simulation #python package? If you'd like to use FElupe for your #hyperelastic #simulation but don't know where to start & too lazy to read the docs, you may use the hello_world() function to print a minimal-working example to the console.
Initially, I wasn't sure if that kind of function really makes sense. But it turns out that I'm using this one quite frequently. 
(shhh! Author here... 
)
Here's an example: let's take the Neo-Hookean [1] isotropic #hyperelastic material model formulation. Just define its strain energy density function and use it in your #simulation [2].
Working on nested triply periodic lattices. Here a Gyroid levelset image is created and two interwoven/complementary surfaces are obtained by constructing isosurfaces for the same positive (white) or negative level (red). In the animation the levelset level is adjusted so the surfaces "shrink away" from each other.
More on Gyroids: https://en.wikipedia.org/wiki/Gyroid)
Coming soon to #Comodo #Julialang #opensource
Have you ever thought 
of using JAX as 
#automaticdifferentiation engine in 
finite element simulations? Boost the performance 
of computationally-expensive hyperelastic material models with #jit in 
FElupe! 
Research associate/software engineer opening in computational mechanics at Bristol. This group is especially interested in functional large-deformation and inverse shape design with applications including wind turbines.
https://www.bristol.ac.uk/jobs/find/details/?jobId=327398&jobTitle=Research%20Associate%20%2F%20Senior%20Research%20Associate%20in%20Computational%20Structural%20Mechanics%20and%20Software%20Development #jobs #FEA #ComputationalMechanics #RSE
New demo added to #GIBBON, the Jansen linkage:
https://www.gibboncode.org/html/DEMO_Jansen_linkage_animation_01.html
More information:
https://en.wikipedia.org/wiki/Jansen%27s_linkage
It has been a week, so it is time for an #introduction.
I am a physics engineer and have been working on #ComputationalScienceAndEngineering for a while now, specifically in #ComputationalMechanics.
I am interested in the design of materials, wave propagation, open science, and open-source software.
Computational mechanics list
Let's talk about #SmoothedParticleHydrodynamics (#SPH for short, even though you'll see #sph_ used on other sites, because #SPH also has a very common, very not-safe-for-work meaning …).
Why should we talk about it? Because it's relatively less known than other numerical methods, possibly undeservingly so, and because I love it.
So what is it? SPH is a Lagrangian meshless numerical method primarily used for #ComputationalFluidDynamics (and more recently also #ComputationalMechanics).
