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Eighty Years of the Finite Element Method (2022)

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71–80 of 106 posts

Re: Eighty Years of the Finite Element Method (2022)

#71

I've been a full-time FEM Analyst for 15 years now. It's generally a nice article, though in my opinion paints a far rosier picture of the last couple decades than is warranted. Actual, practical use of FEM has been stagnate for quite some time. There have been some nice stability improvements to the numerical algorithms that make highly nonlinear problems a little easier; solvers are more optimized; and hardware is…

Have you heard of physics informed neural nets?

It seems like a hot candidate to potentially yield better results in the future

Re: Eighty Years of the Finite Element Method (2022)

#72
post #55

Earlier quoted context omitted.

Interesting that this reads almost like an chatgpt prompt.

Lazy people have been lazy forever. I stumbled across an example of this the other day from the 1990s, I think, and was shocked how much the student emails sounded like LLM prompts: https://www.chiark.greenend.org.uk/~martinh/poems/questions....

At least those had some basic politeness. So often I'm blown away not only how people blithely write "I NEED HELP, GIMME XYZ NOW NERDS" but especially how everyone is just falling over themselves to actually help! WTF?

Basic politeness is absolutely dead, nobody has any concept of acknowledging they are asking for a favour; we just blast Instagram/TikTok reels at top volume and smoke next to children and elderly in packed public spaces etc. I'm 100% sure it's not rose-tinted memories of the 90s making me think, it wasn't always like this...

Re: Eighty Years of the Finite Element Method (2022)

#73
post #49

Earlier quoted context omitted.

Electronics (when you start to care about EMI or antenna design), model airplanes (for aerodynamics), rocketry, machining (especially if you want to get into SPIF), robotics, 3-D printing (especially for topology optimization), basically anything that deals with designing solid structures in the physical world. Also, computer graphics, including video games. Unfortunately the barrier to entry is too high for most hob…

There are some obvious downsides and exceptions to this sentiment, but on balance, I really appreciate how the expansive access to information via the internet has fostered this phenomenon: where an unremarkable fella with a dusty media studies degree, a well-equipped garage, and probably too much free time can engineer and construct robotic machines, implement/tweak machine vision mechanisms, microwave radio transce…

> comes armchair experts and the potential for insufferability

Hey, I resemble that remark! I'd be maybe a little less armchair with more surplus equipment access, but maybe no less insufferable.

By all accounts, though, a degree of insufferability is no bar to doing worthwhile work; Socrates, Galileo, Newton, Babbage, and Heaviside were all apparently quite insufferable, perhaps as much so as that homeless guy who yells at you about adrenochrome when you walk by his park encampment. (Don't fall into the trap of thinking it's an advantage, though.) Getting sidetracked by trivialities and delusions is a greater risk. Most people spend their whole lives on it.

As for how little any person can know, you can certainly know more than anyone who lived a century ago: more than Einstein, more than Edison, more than Noether, more than Tesla, more than Gauss. Any one of the hobbies you named will put you in contact with information they never had, and you can draw on a century or more of academic literature they didn't have, thanks to Libgen and Sci-Hub (and thus Bitcoin).

And it's easy to know more than an average doctorate holder; all you have to do is study, but not forget everything you study the way university students do, and not fall into traps like ancient aliens and the like. I mean, you can still do good work if you believe in ancient aliens (Newton and Tesla certainly believed dumber things) but probably not good archeological work.

Don't be discouraged by prejudice against autodidacts. Lagrange, Heaviside, and du Châtelet were autodidacts, and Ptolemy seems to have been as well. And they didn't even have Wikipedia or Debian! Nobody gets a Nobel for passing a lot of exams.

Re: Eighty Years of the Finite Element Method (2022)

#74

I started my career doing FE modeling and analysis with ANSYS and NASTRAN. Sometimes I miss these days. Thinking about how to simplify a real world problem so far that it is solvable with the computational means available was always fun. Then pushing quads around for hours until the mesh was good had an almost meditative effect. But I don't feel overwhelmingly eager to learn a new software or language. Much to my sur…

I work in this field and it really is stagnant and dominated by high-priced Ansys/etc. For some reason silicon valley's open sourceness hasn't touched it. For open source, there's CalculiX which is full of bugs and Code Aster which everybody I've heard about it from say it's too confusing to use. CalculiX has Prepomax as a fairly new and popular pre/post.

Re: Eighty Years of the Finite Element Method (2022)

#75
post #55

Earlier quoted context omitted.

Lazy people have been lazy forever. I stumbled across an example of this the other day from the 1990s, I think, and was shocked how much the student emails sounded like LLM prompts: https://www.chiark.greenend.org.uk/~martinh/poems/questions....

It reminds me of the old joke that half of the students are below average…

But that's not true, unless by "average" you mean the median.

Re: Eighty Years of the Finite Element Method (2022)

#76

Earlier quoted context omitted.

Good luck designing crash resilient structures without simulating it on FEM based software though.

I’d guess most of the bridges in US were built before FEM existed

Anyone can design a bridge that holds up. Romans did it millenia ago.

Engineering is designing a bridge that holds up to a certain load, with the least amount of material and/or cost. FEM gives you tighter bounds on that.

Re: Eighty Years of the Finite Element Method (2022)

#78
post #69
post #50

Earlier quoted context omitted.

Going by Boeing vs. SpaceX, iteration seems to be the most effective approach to building robotic physical products the size of the Eiffel Tower.

I'm sure they are doing plenty of calculations beforehand, too.

Unquestionably! Using FEM.

Re: Eighty Years of the Finite Element Method (2022)

#79

I started my career doing FE modeling and analysis with ANSYS and NASTRAN. Sometimes I miss these days. Thinking about how to simplify a real world problem so far that it is solvable with the computational means available was always fun. Then pushing quads around for hours until the mesh was good had an almost meditative effect. But I don't feel overwhelmingly eager to learn a new software or language. Much to my sur…

I've worked with COMSOL (I have a smaller amount of ANSYS experience to compare to). For the most part I preferred COMSOL's UI and workflow and leveraged a lot of COMSOL's scripting capabilities which was handy for a big but procedural geometry I had (I don't know ANSYS's capabilities for that). They of course largely do the same stuff. If you have easy access to COMSOL to try it out I'd recommend it just for the experience. I've found sometimes working with other tools make me recognize some capabilities or technique that hadn't clicked for me yet.

Re: Eighty Years of the Finite Element Method (2022)

#80

I've been a full-time FEM Analyst for 15 years now. It's generally a nice article, though in my opinion paints a far rosier picture of the last couple decades than is warranted. Actual, practical use of FEM has been stagnate for quite some time. There have been some nice stability improvements to the numerical algorithms that make highly nonlinear problems a little easier; solvers are more optimized; and hardware is…

I'm a mechanical engineer, and I've been wanting to better understand the computational side of the tools I use every day. Do you have any recommendations for learning resources if one wanted to "relearn" FEA from a computer science perspective?

Have a look at FEniCs to start with.
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