Hydrocarbon characterization experiments in fully turbulent fires : results and data analysis.

Suo-Anttila, Jill Marie ; Blanchat, Thomas K.

关键词: ABSORPTION;    ACCIDENTS;    CONVECTION;    DATA ANALYSIS;    EVAPORATION;    HEAT FLUX;    HYDROCARBONS;    LIQUID FUELS;    PHYSICS;    RISK ASSESSMENT;    SIMULATION;    VALIDATION;   

DOI  :  10.2172/1018470
RP-ID  :  SAND2010-6377
PID  :  OSTI ID: 1018470
Others  :  TRN: US201114%%152

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

As the capabilities of numerical simulations increase, decision makers are increasingly relying upon simulations rather than experiments to assess risks across a wide variety of accident scenarios including fires. There are still, however, many aspects of fires that are either not well understood or are difficult to treat from first principles due to the computational expense. For a simulation to be truly predictive and to provide decision makers with information which can be reliably used for risk assessment the remaining physical processes must be studied and suitable models developed for the effects of the physics. The model for the fuel evaporation rate in a liquid fuel pool fire is significant because in well-ventilated fires the evaporation rate largely controls the total heat release rate from the fire. This report describes a set of fuel regression rates experiments to provide data for the development and validation of models. The experiments were performed with fires in the fully turbulent scale range (> 1 m diameter) and with a number of hydrocarbon fuels ranging from lightly sooting to heavily sooting. The importance of spectral absorption in the liquid fuels and the vapor dome above the pool was investigated and the total heat flux to the pool surface was measured. The importance of convection within the liquid fuel was assessed by restricting large scale liquid motion in some tests. These data sets provide a sound, experimentally proven basis for assessing how much of the liquid fuel needs to be modeled to enable a predictive simulation of a fuel fire given the couplings between evaporation of fuel from the pool and the heat release from the fire which drives the evaporation.