Back to Search
Start Over
Multi-scale optimisation of thin-walled structures by considering a global/local modelling approach
- Source :
- Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2020, ⟨10.1177/0954410020939338⟩
- Publication Year :
- 2020
- Publisher :
- SAGE Publications, 2020.
-
Abstract
- International audience; In this work, a design strategy for optimising thin-walled structures based on a global-local finite element (FE) modelling approach is presented. The preliminary design of thin-walled structures can be stated in the form of a constrained non-linear programming problem (CNLPP) involving requirements of different nature intervening at the different scales of the structure. The proposed multi-scale optimisation (MSO) strategy is characterised by two main features. Firstly, the CNLPP is formulated in the most general sense by including all design variables involved at each pertinent scale of the problem. Secondly, two scales (with the related design requirements) are considered: (a) the structure macroscopic scale, where low-fidelity FE models are used and (b) the structure mesoscopic scale (or component level), where more accurate FE models are involved. In particular, the mechanical responses of the structure are evaluated at both global and local scales, avoiding the use of approximated analytical methods. The MSO is here applied to the least-weight design of an aluminium fuselage barrel of a wide-body aircraft. Fully parametric global and local FE models are interfaced with an in-house metaheuristic algorithm. Refined local FE models are created only for critical regions of the structure, automatically detected during the global analysis, and linked to the global one, thanks to the implementation of a sub-modelling approach. The whole process is completely automated, and once set, it does not need any further user intervention.; In this work, a design strategy for optimising thin-walled structures based on a global-local finite element (FE) modelling approach is presented. The preliminary design of thin-walled structures can be stated in the form of a constrained non-linear programming problem (CNLPP) involving requirements of different nature intervening at the different scales of the structure. The proposed multi-scale optimisation (MSO) strategy is characterised by two main features. Firstly, the CNLPP is formulated in the most general sense by including all design variables involved at each pertinent scale of the problem. Secondly, two scales (with the related design requirements) are considered: i) the structure macroscopic scale, where low-fidelity FE models are used; ii) the structure mesoscopic scale (or component-level), where more accurate FE models are involved. In particular, the mechanical responses of the structure are evaluated at both global and local scales, avoiding the use of approximated analytical methods. The MSO is here applied to the least-weight design of an aluminium fuselage barrel of a wide-body aircraft. Fully parametric global and local FE models are interfaced with an in-house metaheuristic algorithm. Refined local FE models are created onlyfor critical regions of the structure, automatically detected during the global analysis, and linked to the global one thanks to the implementation of a sub-modelling approach. The whole process is completely automated and, once set, it does not need any further user intervention.
- Subjects :
- Work (thermodynamics)
Scale (ratio)
Computer science
stiffened panels
finite element method
Aerospace Engineering
Mechanical engineering
Thin walled
02 engineering and technology
Design strategy
[SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph]
genetic algorithms
0203 mechanical engineering
Optimisation
Mécanique: Mécanique des structures [Sciences de l'ingénieur]
fuselage
Mechanical Engineering
Global local
Mécanique: Mécanique des solides [Sciences de l'ingénieur]
Optimisation et contrôle [Mathématique]
021001 nanoscience & nanotechnology
Finite element method
global/local modelling approach
020303 mechanical engineering & transports
[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
0210 nano-technology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2020, ⟨10.1177/0954410020939338⟩
- Accession number :
- edsair.doi.dedup.....baddf5a9adc0fe9ae74e5cdb67c2b885