SELECTION OF OBJECTIVE FUNCTIONS AND APPLICATION OF GENETIC ALGORITHMS IN DAMPING DESIGN OF PIPE SYSTEM

The vibration failure of pipe system of aeroengine seriously influences the safety of aircraft. Its damping design is determined by the selection of the design target, method and their feasibility. Five objective functions for the vibration design of a pipeline or pipe system are introduced, namely, the frequency, amplitude, transfer ratio, curvature and deformation energy as options for the optimization process. The genetic algorithms (GA) are adopted as the optimization method, in which the selection of the adaptive genetic operators and the method of implementation of the GA process are crucial. The optimization procedure for all the above objective functions is carried out using GA on the basis of finite element software-MSC/NASTRAN.The optimal solutions of these functions and the stress distribution on the structure are calculated and compared through an example, and their characteristics are analyzed. Finally we put forward two new objective functions, curvature and deformation energy for pipe system optimization. The calculations show that using the curvature as the objective function can reflect the case of minimal stress, and the optimization results using the deformation energy represent lesser and more uniform stress distribution. The calculation results and process showed that the genetic algorithms can effectively implement damping design of engine pipelines and satisfy the efficient engineering design requirement.

SELECTION OF OBJECTIVE FUNCTIONS AND APPLICATION OF GENETIC ALGORITHMS IN DAMPING DESIGN OF PIPE SYSTEM

The vibration failure of pipe system of aeroengine seriously influences the safety of aircraft.Its damping design is determined by the selection of the design target,method and their feasibility.Five objective functions for the vibration design of a pipeline or pipe system are introduced,namely,the frequency,amplitude,transfer ratio,curvature and deformation energy as options for the optimization process.The genetic algorithms(GA)are adopted as the opti- mization method,in which the selection of the adaptive genetic operators and the method of implementation of the GA process are crucial.The optimization procedure for all the above ob- jective functions is carried out using GA on the basis of finite element software-MSC/NASTRAN. The optimal solutions of these functions and the stress distribution on the structure are calculated and compared through an example,and their characteristics are analyzed.Finally we put forward two new objective functions,curvature and deformation energy for pipe system optimization.The calculations show that using the curvature as the objective function can reflect the case of minimal stress,and the optimization results using the deformation energy represent lesser and more uni- form stress distribution.The calculation results and process showed that the genetic algorithms can effectively implement damping design of engine pipelines and satisfy the efficient engineering design requirement.