Abstract:
"GasTurbnLab: a multidisciplinary problem solving environment for gas turbine engine design on a network of nonhomogeneous machines"
This paper describes the architecture of an agent-based software framework for simulating various aspects of a gas turbine engine. The framework utilizes a "network" of collaborating numerical objects through a set of interfaces among the engine parts. The framework's implementation uses the Grasshopper agent middleware. The paper also presents simulation results that demonstrate the feasibility of the computational paradigm. The paper notes that gas turbine engines are complex, with 20,000-40,000 parts, and operate under extreme conditions. Designing such a complex system requires fast, accurate simulations of computational models from multiple engineering disciplines and sophisticated optimization techniques.
