Fail-safe design optimization of an aircraft fuselage-wing section using the DamageCreator software
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- Investigación (ETSECCP) [816]
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Fail-safe design optimization of an aircraft fuselage-wing section using the DamageCreator softwareData
2022Cita bibliográfica
Clara Cid Bengoa, Aitor Baldomir, Miguel Rodríguez-Segade and Santiago Hernández (2022). Fail-safe design optimization of an aircraft fuselage-wing section using the DamageCreator software, AIAA 2022-1277. AIAA SCITECH 2022 Forum. https://doi.org/10.2514/6.2022-1277
Resumo
[Abstract] Fail-safe design in aerospace is often addressed by the use of envelopes of possible damaged configurations when there is uncertainty about the size or location of the damage. This strategy leads to oversized designs, since realistic damage scenarios are not considered. In a previous research, we developed the DamageCreator software to automatically generate a large set of damaged FE meshes representing real accidental situations, coming from uncontained engine failures or propeller blade failures. This paper aims to perform a fail-safe optimization of a industry-like aerospace structure using realistic damaged scenarios automatically generated by the DamageCreator tool. A real historical accident database will be taken as input to generate the set of damaged configurations.
Palabras chave
Structural response
Aircraft structures
Uncontained engine failure
Propeller blades
Finite element modeling
Aerospace industry
Young's modulus
Narrow body aircraft
Numerical optimization
Industrial applications
Aircraft structures
Uncontained engine failure
Propeller blades
Finite element modeling
Aerospace industry
Young's modulus
Narrow body aircraft
Numerical optimization
Industrial applications
Descrición
Versión aceptada de: https://doi.org/10.2514/6.2022-1277
Versión do editor
Dereitos
This version of the article has been accepted for publication, after peer review, 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/10.2514/6.2022-1277
ISBN
9781624106316