This title appears in the Scientific Report :
2016
Please use the identifier:
http://hdl.handle.net/2128/11716 in citations.
Real-Time Simulation and Prognosis of Smoke Propagation in Underground Stations: Roadmap
Real-Time Simulation and Prognosis of Smoke Propagation in Underground Stations: Roadmap
Real-time simulations of smoke propagation during fires in complex geometries are challenging. For the sake of computing time, accuracy could impact rescue decisions. We present a roadmap to build a real-time simulation and prognosis software for smoke propagation in underground stations. First, a f...
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Personal Name(s): | Severt, Anne (Corresponding author) |
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Arnold, Lukas | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Imprint: |
2016
|
Conference: | GPU Technology Conference 2016, San José (USA), 2016-04-04 - 2016-04-07 |
Document Type: |
Poster |
Research Program: |
Computational Science and Mathematical Methods |
Link: |
Restricted Restricted OpenAccess |
Publikationsportal JuSER |
Real-time simulations of smoke propagation during fires in complex geometries are challenging. For the sake of computing time, accuracy could impact rescue decisions. We present a roadmap to build a real-time simulation and prognosis software for smoke propagation in underground stations. First, a fractional step method using finite differences is implemented. Second, we evaluate the Lattice-Boltzmann method due to its high parallelization capability and smart handling of complex boundaries and grids. By including live data through sensor coupling, accuracy is maintained and the prognosis is optimized by ensemble simulation. Further, acceleration is accomplished by dynamically extending the computational domain and multi-GPU support. |