YADE - An extensible framework for the interactive simulation of multiscale, multiphase, and multiphysics particulate systems - Publication - Bridge of Knowledge

Search

YADE - An extensible framework for the interactive simulation of multiscale, multiphase, and multiphysics particulate systems

Abstract

This contribution presents the key elements of YADE, an extensible open-source framework for dynamic simulations. During the past 19 years, YADE has evolved from "Yet Another Dynamic Engine"' to a versatile multiscale and multiphysics solver, counting a large, active, and growing community of users and developers. The computationally intense parts of the source code are written in C++, using flexible object models that allow for easy implementation of new features. The source code is wrapped in Python, equipping the software with an interactive kernel used for rapid and concise scene construction, simulation control, post-processing, and debugging. The project, including documentation and examples, is hosted on https://yade-dem.org, while the source code is freely available on GitLab. Over the last decade, YADE has expanded in terms of capabilities thanks to the contribution of many developers from different fields of expertise, including soil and rock mechanics, chemical engineering, physics, bulk material handling, and mineral processing. The rapid growth of YADE can be attributed to (1) the careful and robust design of the framework core, (2) a continuous integration pipeline with fully embedded thorough tests which are executed upon each merge request, ensuring stable compilation for various operating systems, and (3) user-friendliness, facilitated by the Python interface, detailed documentation, and rigorous user support. In this paper, we review the main features of YADE, highlighting its versatility in terms of applications, its flexibility in terms of code development, as well as recent improvements in terms of computational efficiency.

Citations

  • 1

    CrossRef

  • 0

    Web of Science

  • 1

    Scopus

Authors (13)

  • Photo of  Vasileios Angelidakis

    Vasileios Angelidakis

    • Newcastle University, Newcastle upon Tyne, United Kingdom
  • Photo of  Katia Boschi

    Katia Boschi

    • Politecnico di Milano, 20133 Milan, Italy
  • Photo of  Karol Brzeziński

    Karol Brzeziński

    • Warsaw University of Technology, 00 637 Warsaw, Poland
  • Photo of  Robert Caulk

    Robert Caulk

    • Univ. Grenoble Alpes, 38000 Grenoble, France
  • Photo of  Bruno Chareyre

    Bruno Chareyre

    • Univ. Grenoble Alpes, 38000 Grenoble, France
  • Photo of  Carlos Andrés del Valle

    Carlos Andrés del Valle

    • Universidad Nacional de Colombia, Bogotá D.C., Colombia
  • Photo of  Jérôme Duriez

    Jérôme Duriez

    • Aix Marseille Univ, Aix-en-Provence, France
  • Photo of  Anton Gladky

    Anton Gladky

    • Independent researcher, 09618 Brand-Erbisdorf, Germany
  • Photo of  Dingeman L.H. van der Haven

    Dingeman L.H. van der Haven

    • University of Cambridge, CB3 0FS Cambridge, United Kingdom
  • Photo of  Gerald Pekmezi

    Gerald Pekmezi

    • The University of Alabama at Birmingham, Birmingham, Alabama, USA
  • Photo of  Luc Scholtès

    Luc Scholtès

    • Université Clermont Auvergne, Clermont-Ferrand, France
  • Photo of  Klaus Thoeni

    Klaus Thoeni

    • The University of Newcastle, 2308 Callaghan, Australia

Cite as

Full text

download paper
downloaded 31 times
Publication version
Accepted or Published Version
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.cpc.2024.109293
License
Creative Commons: CC-BY open in new tab

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
COMPUTER PHYSICS COMMUNICATIONS no. 304,
ISSN: 0010-4655
Language:
English
Publication year:
2024
Bibliographic description:
Angelidakis V., Boschi K., Brzeziński K., Caulk R., Chareyre B., del Valle C. A., Duriez J., Gladky A., van der Haven D. L., Kozicki J., Pekmezi G., Scholtès L., Thoeni K.: YADE - An extensible framework for the interactive simulation of multiscale, multiphase, and multiphysics particulate systems// COMPUTER PHYSICS COMMUNICATIONS -Vol. 304, (2024), s.109293-
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.cpc.2024.109293
Sources of funding:
  • Free publication
Verified by:
Gdańsk University of Technology

seen 41 times

Recommended for you

Meta Tags