
This dataset is a supplementary resource for the article "Sensitivity analysis for an effective transfer of estimated material properties from cone calorimeter to horizontal flame spread simulations", published in the Fire Safety Journal. This collection contains mostly Python and bash scripts used to create multiple FDS input files, run the simulations on a computer cluster, and post-process the simulation results for the global sensitivity analysis.
Cone calorimeter simulation, Global sensitivity analysis, Inverse modelling, Polymethyl methacrylate (PMMA), Flame spread simulation, Optimisation, Fire Dynamics Simulator (FDS), Material property estimation, Sobol indices
Cone calorimeter simulation, Global sensitivity analysis, Inverse modelling, Polymethyl methacrylate (PMMA), Flame spread simulation, Optimisation, Fire Dynamics Simulator (FDS), Material property estimation, Sobol indices
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
