| 29-04-2018 |
Numerical study for a simplified field model for real time fire forecasting
While computational fluid dynamics (CFD) simulations of fire scenarios are used in the design of buildings, less attention has been given to the use of CFD simulations as an operational tool for the Fire Services. Firefighters face uncertain conditions when entering a building to attack a fire and have to make decisions based solely on their experience. They would greatly benefit from a technology based on predictive fire simulations to assist their decision-making process. One reason for the lack of attention received by predictive CFD fire simulations is the large time required to generate CFD simulations. One factor why they take such long times, in spite of the recent advances in hardware, is the fact that the physical models simulated capture increasingly fine-scale, highly-complex physical phenomena. In this project, we propose to compare models for CFD simulations of fire scenarios with different degrees of model complexity, to evaluate which physical phenomena are strictly necessary to capture the coarse-scale behavior of fire propagation in typical situations.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |