in order to study the survival time of the water mist, the quality, energy and motion models were established by using mathematical methods, and then the three models were integrated by fourth-order Runge-Kutta method; at last, by analysis of simulation data, the conclusion were obtained that the survival time of the droplet had been related the particle size and ambient temperature, and their running distance had been related to the particle size and initial velocity.

The partial differential equations describing fire smoke plume is deduced from the general equation buoyant jet. Applied Lorenz model to study the chaotic behavior of smoke plumes, discussed the nature of evolution equations within the Prandtl number changes, at the same time the emergence of chaotic solutions for the numerical analysis. Smoke plumes appear chaotic, indicating that the flow state changes from the stable convection to unstable convection, at this condition may produce fire whirlwind, so that disaster to expand. Contact Fire actual process parameters when generating chaotic solution, we propose a disaster prediction and control of ideas.

Ship field repair sheduling is a asynchronism and concurrency process. Although it is complex, it is very important in the field repair decision at wartime. Through the optimal field repair scheduling, we can reduce the total repair time and improve repair efficiency. Regretly ship field repair scheduling optimization model has not been researched perfectly. Generally speaking, there are field repair processes of two kinds. Repair processe of one kind is that the repair sequence is fixed and the repair resource need not be scheduled. It is used to schedule repair tasks of the same kind. Repair processe of the other kind is that the repair resoure should be scheduled to reduce the total repair time. It is used to schedule the repair tasks of the different kind. The scheduling method of the first kind has been researched in math work. But the math model turns to be complex when the amount of the object increases. The scheduling method of the second kind is more complex than the first one. It is a typical asynchronism and concurrency process. So the new feasible models should be researched. Based on the repair processes of the two kinds, two ship field repair scheduling models are founded based on timed colored Petri net (TCPN) and depth first search method in this paper. The timed colored Petri net is used to model repair process and its transition rules are used to design the arithmetic. The arithmetics of the two models are explained in detail. In the second arithmetic, the conflict-solution is researched particularly. Conflict-solution method is corresponding to the field repair resource scheduling plan. The conflict-solution problem is solved based on depth first search method of artifical intelligence. Through the examples of the use of the two arithmetics, we find that the arithmetics given in this paper are very feasible and convenient. The field repair scheduling optimization models are the basic of the ship field repair and safety recovery intelligent decision support system. Through the optimization models we can generate the repair scheduling plan intelligently. That is to say the two models are not only optimization models but also intelligent models.

An intelligent decision support system in damage control of damaged ship combined with data mining is constructed in this paper. The human-computer interaction subsystem, the database management subsystem, the model management subsystem and the knowledge management subsystem are introduced in detail and some programming technologies of the system are displayed. The pivotal technology of the realization of this system is discussed briefly at last.

As for the time-dependent behavior of the fuel heat and mass evaporation transfer progress on hot surface,consider the convective mass transfer and heat transfer, the liquid-gas two-phase flow of continuous heat transfer model was studied. By the dimensionless transform, the time-dependent behavior of the concentration distribution and the temperature field was obtained. The result of n-Heptanes evaporation transfer progress on hot surface experiment is consistent with the academic model.