ASCE International Conference on Computing in Civil Engineering 2019
Participatory and Evolutionary Fire Simulation via a Sensitive Control of Key Scenery Parameters
Publication: Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation
ABSTRACT
Fire simulator training is a very effective way to reduce firefighter injuries and improve their mission performance. However, the usability of existing fire simulators remains an issue as most of these simulators require users to set up hundreds or even thousands of parameters to initiate the simulation. In this paper, we present a participatory and evolutionary fire simulation method that balances the accuracy and fidelity of the fire simulation and the usability. The base parameters for accurate and usable fire simulation can be selected by a combination of the evolutionary algorithm and the knowledge of domain experts via the virtual reality (VR) fire simulator. These base parameters are expected to expedite the use of fire simulators and reduce the adoption threshold.
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ACKNOWLEDGEMENTS
This material is supported by National Science Foundation (NSF) under Grants 1761459 and 1761950, as well as National Institute of Standards and Technology (NIST) under Grant 60NANB18D152.
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Information & Authors
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Published In
Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation
Pages: 103 - 111
Editors: Yong K. Cho, Ph.D., Georgia Institute of Technology, Fernanda Leite, Ph.D., University of Texas at Austin, Amir Behzadan, Ph.D., Texas A&M University, and Chao Wang, Ph.D., Louisiana State University
ISBN (Online): 978-0-7844-8242-1
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jun 13, 2019
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