A method of quantifying user uncertainty in FDS by using Monte Carlo analysis
Several hundred FDS simulations have been run using Monte Carlo analysis and probability distributions of input variables. The simulations have been run to investigate the propagation of uncertainty from model inputs to outputs in order to quantify uncertainties that could arise due to the choices of an FDS user. A method has also been presented for performing FDS Monte Carlo analyses. The results