Multiphysics simulation

In computational modelling, multiphysics simulation (often shortened to simply "multiphysics") is defined as the simultaneous simulation of different aspects of a physical system or systems.[1] For example, simultaneous simulation of the physical stress on an object and the temperature distribution of the object would be considered a multiphysics simulation.[2] Multiphysics simulation is related to multiscale simulation, which is the simultaneous simulation of a single process on either multiple time or distance scales.[3]

As an interdisciplinary field, multiphysics simulation can span many science and engineering disciplines. Simulation methods frequently include numerical analysis, partial differential equations and tensor analysis.[4]

Multiphysics simulation process

The implementation of a multiphysics simulation follows a typical series of steps:[1]

  • Identify the aspects of the system to be simulated, including physical processes, starting conditions, and boundary conditions.
  • Create a discrete mathematical model of the system.
  • Numerically solve the model.
  • Process the resulting data.

Mathematical models
See also: Mathematical models

Mathematical models used in multiphysics simulations are generally a set of coupled equations. The equations can be divided into three categories according to the nature and intended role: governing equation, auxiliary equations and boundary/initial conditions. A governing equation describes a major physical mechanisms or process. Multiphysics simulations are numerically implemented with discretization methods such as the finite element method, finite difference method, or finite volume method.[5]

See also

References
  1. Liu, Zhen (2018). Multiphysics in Porous Materials. Cham, Switzerland: Springer. ISBN 978-3-319-93028-2. OCLC 1044733613.
  2. "Multiphysics brings the real world into simulations". 2015-03-16. Retrieved 2018-08-19.
  3. Groen, Derek; Zasada, Stefan J.; Coveney, Peter V. (March 2014). "Survey of Multiscale and Multiphysics Applications and Communities". Computing in Science & Engineering. 16 (2): 34–43. arXiv:1208.6444. doi:10.1109/mcse.2013.47. ISSN 1521-9615.
  4. "Multiphysics Learning & Networking - Home Page". www.multiphysics.us. Retrieved 2018-08-19.
  5. Bagwell, Scott; Ledger, Paul D; Gil, Antonio J; Mallett, Mike; Kruip, Marcel (2017-12-07). "A linearised hp-finite element framework for acousto-magneto-mechanical coupling in axisymmetric MRI scanners". International Journal for Numerical Methods in Engineering. 112 (10): 1323–1352. doi:10.1002/nme.5559.
  • Susan L. Graham, Marc Snir, and Cynthia A. Patterson (Editors), Getting Up to Speed: The Future of Supercomputing, Appendix D. The National Academies Press, Washington DC, 2004. ISBN 0-309-09502-6.
  • Paul Lethbridge, Multiphysics Analysis, p26, The Industrial Physicist, Dec 2004/Jan 2005, , Archived at:
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