Multilevel Optimisation of Panels Under Complex Loading Conditions.pdf (1.55 MB)
Multilevel optimization of composite panels under complex load and boundary conditions
journal contribution
posted on 2015-06-19, 09:16 authored by Carol A. Featherston, Andrew WatsonAndrew WatsonDue to their complexity and large numbers of
design variables, aerospace structures, such as aircraft
wings, are best optimized using a multi-level process. In
addition to simplifying the optimization procedure, such an
approach allows a combination of different methods to be
used, increasing the efficiency of the analysis. This paper
presents a technique based on the usage of exact finite strip
software, VICONOPT, with the finite element analysis
package, ABAQUS. The computer programme VICONOPT
is computationally efficient but provides solutions
for a restricted range of geometries and loading conditions.
Finite element analysis allows accurate models of structures
with complex geometries to be created but is computationally
expensive. By combining the two, these limitations are
minimised, whilst the strengths of each are exploited. The
fundamental principles of this multi-level procedure are
demonstrated by optimizing a series of curved composite
panels under combined shear and in-plane bending subject
to buckling constraints.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
Structural and Multidisciplinary OptimizationVolume
36Issue
(1)Pages
15 - 27Citation
FEATHERSTON, C.A. and WATSON, A., 2008. Multilevel optimization of Composite panels under complex load and boundary conditions. Structural and Multidisciplinary Optimization, 36 (1), pp. 15 - 27.Publisher
© Springer-VerlagVersion
- SMUR (Submitted Manuscript Under Review)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2008Notes
This article was submitted for publication in the journal Structural and Multidisciplinary Optimization. The final publication is available at Springer via http://dx.doi.org/10.1007/s00158-007-0181-8ISSN
1615-147XPublisher version
Language
- en