Open Access Publication of the Month – Prof. Dr. Lukas Arnold (IAS-7) et al.

8 April 2024

To encourage us all to broaden our horizons, each month the Central Library selects one open access publication from the JuSER publications portal to be featured in the newsletter of Forschungszentrum Jülich.

In the open access publication of the month, Tássia Lins da Silva Quaresma, Lukas Arnold (both IAS-7), and Tristan Hehnen (University of Wuppertal) write about the influence of physical material parameters on the spread of fires.

Predictive flame spread simulations require numerous material properties as input parameters. These parameters are often derived by optimization and inverse modelling using data from bench-scale experiments such as the cone calorimeter. The estimated parameters are then transferred to flame spread simulations, where self-sustained propagation is expected. A fundamental requirement for this transfer is that the simulation model used in the optimization process is sufficiently sensitive to the input parameters that are important for flame spread. The estimated parameters would otherwise be associated with increased uncertainty, which is transferred to the flame spread simulation.

In this paper, this phenomenon is investigated using a variance-based global sensitivity analysis method, the Sobol indices. The results show significant differences between the setups, indicating that new optimization strategies are needed to improve the estimation of the required material properties.

The open access publication entitled “Sensitivity analysis for an effective transfer of estimated material properties from cone calorimeter to horizontal flame spread simulations” was published in the Fire Safety Journal.
JuSER publications portal – Sensitivity analysis for an effective transfer of estimated material properties from cone calorimeter to horizontal flame spread simulations

Internet – Institute for Advanced Simulation – Civil Safety Research (IAS-7)

Internet (ZB) – Open Access

Last Modified: 08.04.2024