Corrosion fatigue has been identified as one of the leading causes of failure among the various damage mechanisms that affect the structural integrity of aircraft structures. Operation of aging aircraft under a corrosive environment may cause failure of the various parts due to initiation and propagation of corrosion fatigue cracks. Scheduled maintenance and inspection of aircraft components in advance may prevent such failures. Establishment of models for predicting corrosion fatigue will be helpful in designing a maintenance program based on the residual life to avoid failure. A particle swarm optimization method was used to investigate the corrosion fatigue problem. The optimization procedure is used in redesigning the operating environment to achieve desired corrosion fatigue properties for an aircraft panel/material. The operating parameters that would cause a structure to have maximum fatigue properties were obtained from the optimization simulation. The results of operating parameters obtained through the optimization procedure are reasonable and demonstrate the feasibility of the approach for estimating the corrosion fatigue of aging structures.


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    Title :

    Corrosion fatigue through particle swarm optimization


    Additional title:

    Simulierte Minimierung der Korrosionsermüdung mit der Particle Swarm Optimization


    Contributors:

    Published in:

    AIAA Journal ; 41 , 6 ; 1167-1171


    Publication date :

    2003


    Size :

    5 Seiten, 3 Bilder, 3 Tabellen, 20 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Corrosion Fatigue Through Particle Swarm Optimization

    R. M. Pidaparti / S. Jayanti | AIAA | 2003



    Particle Swarm Optimization

    Gerhard Venter / Jaroslaw Sobieszczanski-Sobieski | AIAA | 2003


    Particle Swarm Optimization

    Venter, G. / Sobieszczanski-Sobieski, J. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2002


    Particle Swarm Optimization

    Venter, Gerhard / Sobieszczanski-Sobieski, Jaroslaw | AIAA | 2002