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Partnership for Advanced Computing in Europe Application of CFD and CSM Open Source Codes for Solving Multiscale Multiphysics Problems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Karáseka, Tomáš Horáka, David Haplaa, Václav Markopoulosa, Alexandros Ľubomír Íhaa Vondráka, Vít Brzobohatýa, Tomáš |
| Copyright Year | 2014 |
| Abstract | Solution of multiscale and/or multiphysics problems is one of the domains which can most benefit from use of supercomputers. Those problems are often very complex and their accurate description and numerical solution requires use of several different solvers. For example problems of Fluid Structure Interaction (FSI) are usually solved using two different discretization schemes, Finite volumes to solve Computational Fluid Dynamics (CFD) part and Finite elements to solve the structural part of the problem. This paper summarizes different libraries and solvers used by the PRACE community that are able to deal with multiscale and/or multiphysic problems such as Elmer, Code_Saturne and Code_Aster, and OpenFOAM. The main bottlenecks in performance and scalability on the side of Computational Structure Mechanics (CSM) codes are identified and their possible extension to fulfill needs of future exascale problems are shown. The numerical results of the strong and weak scalabilities of CSM solver implemented in our FLLOP library are presented. 1. Multiscale and muliphysics problem introduction Let us start with the question “What is multiphysics?” and “What is multiscale?” The Wikipedia says in [1] and [2]: “Multiphysics treat simulations that involve multiple physical models or multiple simultaneous physical phenomena. Multiphysics typically involve solving coupled systems of partial differential equations.” “In engineering, mathematics, physics, meteorology and computer science, multiscale modelling is the field of solving physical problems which have important features at multiple scales, particularly multiple spatial and(or) temporal scales. Multiscale modelling in physics is aimed to calculation of material properties or system behaviour on one level using information or models from different levels. On each level particular approaches are used for description of a system.” A typical example of multiscale modelling in CFD calculations is modelling of turbulent flow. Solving turbulent flow is quite a difficult task. There are an infinite number of degrees of freedom and velocities fluctuate in all directions. The flow is chaotic, three dimensional, diffusive, dissipative and intermittent. Governing equations describing it are elliptic, non-linear and coupled (pressure-velocity and temperature-velocity). The main obstacle in modelling turbulent flows is a quite wide range of length and time scales associated with turbulence which makes it a good example of multiscale problems. There are several approaches how to address this problem and each of them comes with its |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.prace-ri.eu/IMG/pdf/wp157.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
