In this paper a new approach to the mistune effects evaluation on turbomachine is presented that cannot be classified neither deterministic neither statistical: it is based on the employment of genetic algorithms. A genetic algorithm has been developed to find the structural mistuned configuration that leads to the maximum value of blade vibration amplitude for an assigned domain of variations. A test case has been fixed and subjected to an assigned forcing field: the target was to perform a smart search of the worst mistuned configuration. The test case was a twenty blades disc on which one thousand forced frequency response analyses have been performed. The investigation has demonstrated the applicability of the genetic algorithms to the study of structural behaviour of mistuned rotors.

Genetic algorithms for the evaluation of the mistune effects on turbomachine bladed disks

SCARSELLI, Gennaro;LECCE, LEONARDO
2005-01-01

Abstract

In this paper a new approach to the mistune effects evaluation on turbomachine is presented that cannot be classified neither deterministic neither statistical: it is based on the employment of genetic algorithms. A genetic algorithm has been developed to find the structural mistuned configuration that leads to the maximum value of blade vibration amplitude for an assigned domain of variations. A test case has been fixed and subjected to an assigned forcing field: the target was to perform a smart search of the worst mistuned configuration. The test case was a twenty blades disc on which one thousand forced frequency response analyses have been performed. The investigation has demonstrated the applicability of the genetic algorithms to the study of structural behaviour of mistuned rotors.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/341503
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