Graphics gems IV
Modeling formalisms for dynamic structure systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Concepts of object- and agent-oriented simulation
Transactions of the Society for Computer Simulation International - Special issue: multi-agent systems and simulation
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Journal of Computational Physics
A simple package for front tracking
Journal of Computational Physics
Journal of Computational Physics
Modeling wildland fire propagation with level set methods
Computers & Mathematics with Applications
A DEVS fire jumps model and associated simulations using ForeFire
Proceedings of the 2010 Summer Computer Simulation Conference
Simulation Processes in the Cloud for Emergency Planning
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
An experimental frame for the simulation of forest fire spread
Proceedings of the Winter Simulation Conference
Hi-index | 0.00 |
Simulation of moving interfaces such as a fire front usually requires resolution of a large-scale and detailed domain. Such computing involves the use of supercomputers to process the large amount of data and calculations. This limitation is mainly due to the fact that a large scale of space and time is usually split into nodes, cells, or matrices and the solving methods often require small time steps. In this paper we present a novel method that enables the simulation of large-scale/highresolution systems by focusing on the interface and its application to fire-spread simulation. Unlike the conventional explicit and implicit integration schemes, it is based on the discrete-event approach, which describes time advance in terms of increments of physical quantities rather than discrete time stepping. In addition, space is not split into discrete nodes or cells, but we use polygons with real coordinates. The system is described by the behavior of its interface and evolves by computing collision events of this interface in the simulation. As this simulation technique is suitable for a class of models that can explicitly provide the rate of spread, we developed a radiation-based propagation model of wild land fire. Simulations of a real large-scale fire performed by implementation of our method provide very interesting results in less than 30 s with a 3-m resolution with current personal computers.