Specification of Discrete Event Models for Fire Spreading

  • Authors:

  • Alexandre Muzy;Eric Innocenti;Antoine Aiello;Jean-François Santucci;Gabriel Wainer

  • Affiliations:

  • Fire Computer Modeling & Simulation, University of Corsica, SPE-UMR CNRS 6134, B.P. 52, Campus Grossetti, 20250 Corti. France;Fire Computer Modeling & Simulation, University of Corsica, SPE-UMR CNRS 6134, B.P. 52, Campus Grossetti, 20250 Corti. France;Fire Computer Modeling & Simulation, University of Corsica, SPE-UMR CNRS 6134, B.P. 52, Campus Grossetti, 20250 Corti. France;Fire Computer Modeling & Simulation, University of Corsica, SPE-UMR CNRS 6134, B.P. 52, Campus Grossetti, 20250 Corti. France;Department of Systems and Computer Engineering, Carleton University, 4456 Mackenzie Building, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada

  • Venue:
  • Simulation
  • Year:
  • 2005

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Abstract

The fire-spreading phenomenon is highly complex, and existing mathematical models of fire are so complex themselves that any possibility of analytical solution is precluded. Instead, there has been some success when studying fire spread by means of simulation. However, precise and reliable mathematical models are still under development. They require extensive computing resources, being adequate to run in batch mode but making it difficult to meet real-time deadlines. As fire scientists need to learn about the problem domain through experimentation, simulation software needs to be easily modified. The authors used different discrete event modeling techniques to deal with these problems. They have qualitatively compared the Discrete Event System Specification (DEVS) and Cell-DEVS simulation results against controlled laboratory experiments, which allowed them to validate both simulation models of fire spread. They were able to show how these techniques can improve the definition of fire models.