The Center for Integrated Turbulence Simulations (CITS) was created in October of 1997 under the sponsorship of the Department of Energy (DoE) Accelerated Strategic Computing Initiative (ASCI) Alliance program. The over-arching problem to be solved by this Center is the detailed, high-fidelity simulation of the flowpath through complete aircraft gas turbines including the compressor, combustor,...

Control and Health Monitoring of complex systems such as Gas-Turbine Engines can potentially receive great benefits from the use of advanced software technologies. However, techniques such as Intelligent Agents, Neural Networks and Genetic Algorithms are predominately designed to optimally perform specific functions, while the rest of the functionality is better achieved using conventional tech...

This paper describes the use of multiobjective genetic algorithms (MOGA’s) in the design of a multivariable control system for a gas turbine engine. The mechanisms employed to facilitate mnltiobjective search with the genetic algorithm are described with the aid of an example. It is shown that the MOGA confers a number of advantages over conventional multiobjective optimization methods by evolv...

Researches show that probability-statistical methods application, especially at the early stage of the aviation Gas Turbine Engine (GTE) technical condition diagnosing, when the flight information has property of the fuzzy, limitation and uncertainty is unfounded. Hence the efficiency of application of new technology Soft Computing at these diagnosing stages with the using of the Fuzzy Logic an...

This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced by morphing a prototypical function located at its origin. The prototypical function and the space’s dimensions, which define morphological operations, are learned from a set of existing functions. New ones are generated by ave...

The gas turbine presents significant challenges to any computational fluid dynamics techniques. The combination of a wide range of flow phenomena with complex geometry is difficult to model in the context of Reynolds-averaged Navier–Stokes (RANS) solvers. We review the potential for large eddy simulation (LES) in modelling the flow in the different components of the gas turbine during a practic...

The gas turbine presents significant challenges to any computational fluid dynamics techniques. The combination of a wide range of flow phenomena with complex geometry is difficult to model in the context of Reynolds-averaged Navier-Stokes (RANS) solvers. We review the potential for large eddy simulation (LES) in modelling the flow in the different components of the gas turbine during a practic...

Probabilistic fracture mechanics is a well-established method for predicting the probability-of-fracture (POF) of gas turbine engine rotor disks subject to low-cycle fatigue. An adaptive risk refinement methodology (ARRM) was developed to automate zone discretization and refinement that are typically associated with this approach. ARRM generates initial meshes using an adaptive nodal selection ...

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Aircraft engines constitute a comp‌lex system, requiring adequate mon-itoring to ensure flight safety and timely maintenance. The best way to achieve this, is modeling the engine. Therefore, in this paper, a suitable mathematical model from engine controller design point of view, for a specific aero turbine engine is proposed by the aid of MATLAB/Simulink software. The model is capable of reduc...