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Multiphysics simulation

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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.
  • Numercally solve the model.
  • Process the resulting data.

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. ^ a b Multiphysics in Porous Materials | Zhen (Leo) Liu | Springer.
  2. ^ "Multiphysics brings the real world into simulations". 2015-03-16. Retrieved 2018-08-19.
  3. ^ Groen, Derek; Zasada, Stefan J.; Coveney, Peter V. (2012-08-31). "Survey of Multiscale and Multiphysics Applications and Communities". arXiv:1208.6444 [cs.OH].
  4. ^ "Multiphysics Learning & Networking - Home Page". www.multiphysics.us. Retrieved 2018-08-19.
  5. ^ S. Bagwell, P.D. Ledger, A.J. Gil, M. Mallett, M. Kruip, A linearised hp–finite element framework for acousto-magneto-mechanical coupling in axisymmetric MRI scanners, 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, [1], Archived at: [2]