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Predicting smoke movement caused by fires is a very important research area of fire and smoke safety. In this thesis, we developed a hybrid of zone and network fire model which simulates smoke and heat movement within fires in multi-compartment buildings. A two-zone model is used to simulate fire and smoke movement inside the room where fire originates and compartments surrounding the fire room. A network model, which predicts both mass and energy flow, is used to simulate smoke movement for the remaining compartments that are far away from the fire room. Appropriate conditions are devised at the interface between the two models. An approach of decoupling pressure and temperature equations within the network model is used due to their significantly different convergence speeds. A Newton-GMRES method is chosen for finding the solution for the pressures, and a DLSODE ODE solver is used to solve the temperatures. Various examples with different room configurations are performed and demonstrated in this work, to show that the model is capable of predicting smoke movement in multi-compartment buildings.

Hybrid model for smoke and heat progagation in complex structures