Giter Site home page Giter Site logo

Features of GPUSPH about gpusph HOT 7 OPEN

gpusph avatar gpusph commented on May 29, 2024
Features of GPUSPH

from gpusph.

Comments (7)

agnesLeroy avatar agnesLeroy commented on May 29, 2024

Hi there,

Thank you for your interest in GPUSPH. To answer your questions, it is not possible to use variable particle size in version 4.1, and the upcoming version 5.0 will not include this feature either. The surface tension code as described in Wei et al. 2017 is not available in an official release yet, and it will not be part of 5.0. Maybe 5.1, or a later release. The mooring system was modeled using an analytical solution for non-elastic mooring lines. If you need the corresponding code, please let us know, we can send it to you. There is indeed a limit on the number of floating objects: the maximum is currently 16.

Best regards,
Agnès

from gpusph.

Dongxueyang avatar Dongxueyang commented on May 29, 2024

Hi agnesLeroy:
You see there is indeed a limit on the number of floating objects:the maximum is currently 16.
You mean I can only generate 16 floatings in a model. Such as only 16 spheres or cubics? And I can not find any example about floating in the pragram. Could you send me a simple example to further study?
Thanks a lot.
dong

from gpusph.

agnesLeroy avatar agnesLeroy commented on May 29, 2024

Hello,

Yes, at the moment you can only include 16 different floating bodies (spheres, cubes, etc.).
There are several examples in GPUSPH that include floating bodies: for example, you can look at BuoyancyTest (it uses dynamic boundaries) or CompleteSaExample (it uses semi-analytical boundaries).

Cheers,
Agnès

from gpusph.

Dongxueyang avatar Dongxueyang commented on May 29, 2024

Thanks a lot . But why the limit number is 16? If I want to simulate sand it seems impossible.
What facter is related to the limit number?

from gpusph.

agnesLeroy avatar agnesLeroy commented on May 29, 2024

Hello,

For simulations involving very small objects we prefer to create models (for example, for sand we have an ngoing work on multi-phase non-Newotnian flows, that shall be merged into next soon). Otherwise, the particle size in the simulation is so small that computational times become too high, even on GPU.

It is true we need to relax that limit, I'm not sure how complicated this is.

Cheers,
Agnès

from gpusph.

Dongxueyang avatar Dongxueyang commented on May 29, 2024

Thanks for your reply soon.
I have another question. Is there any non-Newotnian flows examples in the program, and when will the next version will be released?

from gpusph.

agnesLeroy avatar agnesLeroy commented on May 29, 2024

Hello,

At the moment there is no example of a non-Newtonian flow: this feature is still at development stage and when it will be merged into next there will be an associated example. I can let you know about it when it happens. The version 5.0 is planned to be released next spring, but before that we're making the stabilised developments public on the branch next, so you can try it out before the version release if you need to.

Best regards,
Agnès

from gpusph.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.