α-stable distributions for better performance of ACO in detecting damage on not well spaced frequency systems
| Autor: | Antonina Pirrotta, Giulio Cottone, G. Fileccia Scimemi |
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| Přispěvatelé: | Cottone, G, Fileccia Scimemi, G, Pirrotta, A |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Mathematical optimization
Damage detection Computer science Mechanical Engineering Ant colony optimization algorithms Ant Colony Optimization Damage identification Lévy α-stable distributions Not-well spaced frequency system Aerospace Engineering Ocean Engineering Statistical and Nonlinear Physics Condensed Matter Physics Maxima and minima Modal Nuclear Energy and Engineering Feature (computer vision) Biological system Random variable Civil and Structural Engineering |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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