SBIR-STTR Award

Autonomic systems are required to achieve reduced manning for shipboard damage control. An integral element of this system is the capability to simulate physical phenomena that results in cascading failures, including fire and smoke spread. The work proposed here will use the physics-based fire and smoke model, Fire and Smoke Simulator (FSSIM), currently used for recoverability modeling, and transition it to a shipboard predictive model. Methods to integrate the model as a federate in an Automated Damage Control system will be developed. The work effort includes designs to adapt the model for faster-than-real-time predictive use. Integration with ship Smart Product Model and autonomous shipboard systems is proposed. Coding of the algorithm will follow Navy QA Standards. Shipboard hardware vendors have been identified to support the effort

Future Naval vessels, having reduced manning, will rely on installed systems and situational awareness for damage control. Casualty assessment, including fire and smoke spread, will be initially implemented using a physics-based heuristic approach with FSSIM as its backbone. The next generation of this predictive software will be developed in the Phase II effort. The objective is to develop, test, and demonstrate a successful prototype of sensor driven predictions of shipboard fire and smoke spread operating at or faster than real time. The outputs will forecast fire conditions in support of damage control decision making processes.

Keywords:
Fire Model, Computer Simulation, Real-Time Ship Model, Fire And Smoke Spread, Damage Control Sensors, Casualty Prediction, Situational Awareness, Fssi