Quality Assessment in FDS: A Bridge to Reliable Simulations

In this presentation, we examine the emerging field of quality assessment for large-eddy simulation of fire dynamics. The importance of model convergence is discussed and the differences between validation and quality assessment are highlighted. Briefly, validation compares a model to experimental data, whereas quality assessment fills the void between experiments and practical applications. Two quality metrics are discussed: a measure of turbulence resolution and a normalized wavelet error measure. The metrics are monitored in a simulation of the Sandia 1 m methane pool fire and target metric values are inferred based on the results of a grid resolution study.