FElupe is now available on conda-forge! Unfortunately, it doesn't handle optional dependencies like pip. Anyway here's a nice animation of the #hyperelastic "twisting column" example from the book of Bonet & Wood. This one works without any fancy continuation techniques, it's just Newton's method.

https://github.com/adtzlr/felupe

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𝗦𝗵𝗲-𝗣𝘂𝗻𝗸𝘀, 𝘂𝗻𝗲 𝗵𝗶𝘀𝘁𝗼𝗶𝗿𝗲 𝗳𝗲́𝗺𝗶𝗻𝗶𝘀𝘁𝗲 𝗱𝗲 𝗹𝗮 𝗺𝘂𝘀𝗶𝗾𝘂𝗲, 𝘂𝗻 𝗵𝘆𝗺𝗻𝗲 𝗮̀ 𝗹𝗮 𝗹𝗶𝗯𝗲𝗿𝘁𝗲́ 𝗳𝗲́

https://friendica.world/display/84b6ef2b-1967-cc16-8225-5d4930497834

He visto que este finde es la Feria de la Edición Asturiana (FEA), en la plaza Transcorrales (Oviedo). Se celebrará entre los días 7 al 9 de marzo.

Horarios:
Viernes: de 12:00 a 14:30 y de 17:00 a 21:00 h
Sábado: de 11:00 a 14:30 y de 17:00 a 21:00 h
Domingo: de 11:00 a 14:30 y de 17:00 a 20:00 h.

Toca hacer visita y comprar los regalos de cumple y, quién sabe, de Reyes 2025...

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Sitting here running #FEA simulations in my hotel room, and my model has 1.24 MILLION degrees of freedom. I’m sure any of you that do FEA probably think that’s pretty pedestrian, but I don’t think many people would realize the size of the matrices being pushed around. This simulation takes about 25 minutes to run because of large displacement and surface contact, and it’s rather amazing that it only takes 25 minutes on modern hardware.

I tried to use GitHub #copilot to create a solid body contact add-on for FElupe, a nonlinear #fea #python package. This seems like a huge potential, but I feel I'm not using it the right way. Any #promting experts here? How do you use #llm as coding assistant?

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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... )

https://github.com/adtzlr/felupe

https://www.wacoca.com/news/2299701/ アングル：ルーマニア大統領選、親ロ極右候補躍進でＴｉｋＴｏｋに疑惑の目 | ロイター #AMERS #ANLINS #ANV #BOJJ #CIV #CMPNY #DEST:NOJPTPM #DEST:NOJPWDM #DEST:NOJPZTM #DLI #EEU #EMEA #EMRG #Ent #EREP #EU #EUROP #FEA #FES #Gen #HRGT #INTAG #JFOR #JLN #LIF #NAMER #POL #PRIVT #RO #RSBI:HUMANRIGHTS #SeeU #SMED #SOCI #SOFW #SOFW1 #SWIT #Tech #TECH08 #TMT #TRN #US #VOTE #VOTP #WorldNews #www

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!

https://github.com/adtzlr/felupe

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With FElupe, it's easier than ever to simulate the deformation of nonlinear hyperelastic solid bodies!

https://github.com/adtzlr/felupe

Anyone know the latest on using FEA simulation data to drive automated layering and selection of composite materials?

Given material Strengths, sizing constraints, iterative modeling, safety factors, {etc.} can you get an automated carbon/FG/composite layup schematic?

Last I looked in depth (~3 years) it was mostly rules of thumb around layup selection, direction/weave/weights of various materials.

In numeric simulations of the deformation of solid bodies coming into contact, a good contact algorithm is required. Beside the typical approaches (node-to-segment, segment-to-segment or Mortar-based), the so-called third medium frictionless contact method with a Hessian-based regularization is carried out in an example of FElupe. The method does not require any special treatment of surface normals - instead, the air (a.k.a. third medium) is represented by a very soft solid (with all its benefits and drawbacks...).

https://en.wikipedia.org/wiki/Third_medium_contact_method

https://felupe.readthedocs.io/

In my Python FEA package FElupe I've noticed that the time spent on assembling (especially large) finite element matrices takes longer than in recent releases. The slowdown is about 15% to 100%, depending on the number of degrees of freedom. From a computational-cost point of view, there are some cheap arrays stored inside a numeric region. A somewhat massive einsum-call further evaluates the values for the sparse finite element matrix. Due to some recent code changes, these cheap region arrays aren't contiguous anymore. That slows down the finite element matrix assembly up to 100%! By ensuring C-contiguous arrays, performance is back to normal (NumPy array flags are available as attribute ndarray.flags).

https://github.com/adtzlr/felupe