Flame Spread

Experiments and Modelling of the Spread of Fires

About

The prediction of the cause of a fire, thus the spread of it, is one of the major challenges in fire safety science. It allows to determine the dynamics of the fire under consideration of the relevant physical and chemical processes, and especially the behaviour of the burning material. We conduct experiments on the micro scale to understand the pyrolysis of the material, i.e. the thermal decomposition, to determine the relevant material parameter. With these, we utilise computation fluid dynamics models to predict the flame spread in large scale experiments.

Research Topics

Fire Dynamics, Computational Fluid Dynamics, High Performance Computing, Pyrolysis, Inverse Modelling, Machine Learning, Large Scale Experiments

Contact

Prof. Dr. Lukas Arnold

IAS-7

Building 09.7 / Room 317

+49 2461/61-2301

E-Mail

Members

Last Modified: 07.01.2025