6533b81ffe1ef96bd1277deb
RESEARCH PRODUCT
α-stable distributions for better performance of ACO in detecting damage on not well spaced frequency systems
Antonina PirrottaGiulio CottoneG. Fileccia Scimemisubject
Mathematical optimizationDamage detectionComputer scienceMechanical EngineeringAnt colony optimization algorithmsAnt Colony Optimization Damage identification Lévy α-stable distributions Not-well spaced frequency systemAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsCondensed Matter PhysicsMaxima and minimaModalNuclear Energy and EngineeringFeature (computer vision)Biological systemRandom variableCivil and Structural Engineeringdescription
Abstract In this paper, the Ant Colony Optimization (ACO) algorithm is modified through α -stable Levy variables and applied to the identification of incipient damage in structural components. The main feature of the proposed optimization is an improved ability, which derives from the heavy tails of the stable random variable, to escape from local minima. This aspect is relevant since the objective function used for damage detection may have many local minima which render very challenging the search of the global minimum corresponding to the damage parameter. As the optimization is performed on the structural response and does not require the extraction of modal components, the method is particularly relevant for structures with not-well spaced natural frequencies.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-01-01 |