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Probability-damage approach for fail-safe design optimization (PDFSO)

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BaldomirA_2020_Probability-damage_SaMO-62-3149.pdf (2.609Mb)
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http://hdl.handle.net/2183/39675
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Título
Probability-damage approach for fail-safe design optimization (PDFSO)
Autor(es)
Cid Montoya, Miguel
Baldomir, Aitor
Hernández, Santiago
Fecha
2020
Cita bibliográfica
Cid, Baldomir, Hernández. (2020). Probability-damage approach for fail-safe design optimization (PDFSO). Structural and Multidisciplinary Optimization, 62(6), 3149-3163. https://doi.org/10.1007/S00158-020-02660-X
Resumen
[Abstract:] Fail-safe design often leads to oversized structures as the design must be able to behave properly for the different accidental situations that could undergo throughout their lifespan. The existing research about structural optimization applied to fail-safe design does not contemplate the idea of having accidental situations with different probabilities of occurrence. This means that the structure must satisfy the design constraints in the damaged structure regardless of whether one accidental situation is much more likely than another. The objective of this research is to formulate a new optimization strategy to get fail-safe structures with minimum weight taking into account the available data about the probability of occurrence associated to each partial collapse. A multi-model probabilistic optimization problem is defined and applied to two structures: a 2D truss structure with stress constraints as well as the tail section of an aircraft fuselage with stress and buckling constraints.
Palabras clave
Fail-safe design
Multi-model
Partial collapse
Optimization
Uncertainty
Certainty of survival
Probability of failure
 
Versión del editor
https://doi.org/10.1007/s00158-020-02660-x
Derechos
This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s00158-020-02660-x

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