Development of Simulation Tool for Evaporation and Diffusion of Gasoline

DOI

Bibliographic Information

Other Title
  • ガソリン蒸発拡散シミュレーションツールの開発

Abstract

<p>Gasoline, which is used as a fuel for automobiles, is often used as a combustion accelerator in arson cases because of the high flammability, portability, availability, and low cost. Since the volatility of gasoline is high, a large amount of gasoline vapor is generated from the gasoline liquid surface. The gasoline vapor spreads around and mixes with air forming a combustible mixture. When gasoline is spilled on the floor, the vapor diffuses away from the liquid surface with the passage of time, and the flammable area can extend upwards. Therefore, when an arson fire with gasoline occurs, it is necessary to clarify the amount of spilled gasoline, the ignition source and ignition location, and the specific fire hazard that occurs after ignition in order to prove the facts of the crime. On the other hand, since gasoline is a multi-component liquid fuel, the component composition changes with the progress of evaporation. This makes it difficult to predict the exact evaporative diffusion behavior. In this study, we developed a simulation tool for one-dimensional diffusion of gasoline in the height direction under various conditions in which gasoline was spilled indoors, using the previously reported gasoline evaporative diffusion model. This tool can automatically calculate gasoline vapor concentration distribution, evaporation amount, evaporation rate, indoor average concentration, explosion pressure, and explosive limit height by inputting temperature, an amount of spilled gasoline, spill area, floor area, ceiling height, ventilation rate, and kerosene mixing ratio. Furthermore, the developed evaporation-diffusion simulation tool was validated by comparing the prediction results with the results of gasoline vapor ignition experiments. The ignition prediction by the developed simulation tool agreed well with the ignition experiment results.</p>

Journal

Details 詳細情報について

  • CRID
    1390299937187377408
  • DOI
    10.11196/kasai.73.1_1
  • ISSN
    18835600
    05460794
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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