MATEC Web Conf.
Volume 305, 20209th International Symposium on Occupational Health and Safety (SESAM 2019)
|Number of page(s)||7|
|Published online||17 January 2020|
Optimizing the computational simulations of air-flammable gas explosions using HPC and Ansys software
National Institute for Research and Development in Mine Safety and Protection to Explosion INSEMEX Petrosani, 32-34 G-ral Vasile Milea Street, Petroşani 332047, Romania
* Corresponding author: firstname.lastname@example.org
The purpose of this scientific work is to improve computer simulations of flammable air-gas explosions with HPC systems.
Computational Fluid Dynamics (CFD) is increasingly used for obtaining variable values of fluid flow areas, respectively for the manner in which fluids react with limited surfaces.
For a separate analysis of liquids and gases is used CFD, and for more realistic results is used the multi-phase method performed by ANSYS Fluent, which improves the calculation scalability and power.
For increasing the processing speed for complex analyses, with multiple geometries and fine meshes, ANSYS provides the user HPC (High Performance Computing) tools applicable for structural, thermal, electromagnetic, fluid dynamics and explicit dynamics solvers. HPC configuration is characterized by a good scalability, having the capacity for future extension of cores or processors.
For decreasing the computational simulation time for explosions, the proposed solution consists in running complex simulations on the servers of a HPC cluster. In this way is provided the possibility for a parallel or distributed running on one or several calculation systems. Using HPC along ANSYS applications may be activated by GPU acceleration, while other applications are limited to processing using CPUs. INSEMEX develops technical investigations of explosions and fires occurred in the industrial or civilian field, in compliance with Government Decision 1461/2006, based on the verification of scenarios using virtual computational simulations.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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