.png){kind=icon}
Return
Distributed multilevel optimization for complex structures
.png){kind=icon}
OA
AI
DOI：10.1007/s00158-007-0173-8.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Optimization problems concerning complex structures with many design variables may entail an unacceptable computational cost. This problem can be reduced considerably with a multilevel approach: A structure consisting of several components is optimized as a whole (global) as well as on the component level. In this paper, an optimization method is discussed with applications in the assessment of the impact of new design considerations in the development of a structure. A strategy based on fully stressed design is applied for optimization problems in linear statics. A global model is used to calculate the interactions (e.g., loads) for each of the components. These components are then optimized using the prescribed interactions, followed by a new global calculation to update the interactions. Mixed discrete and continuous design variables as well as different design configurations are possible. An application of this strategy is presented in the form of the full optimization of a vertical tail plane center box of a generic large passenger aircraft. In linear dynamics, the parametrization of the component interactions is problematic due to the frequency dependence. Hence, a modified method is presented in which the speed of component mode synthesis is used to avoid this parametrization. This method is applied to a simple test case that originates from noise control.
Keywords:
multilevel optimization
neural networks
genetic algorithms
component mode synthesis
Journal
IF:
4
Papers:
4.9K
Citations:
1.7W
Organization
Cited Papers
ShareSaveShareSaveA systematic program of research regarding the assessment of speech-language pathology competencies
PREAI
ShareSaveVolatile Organic Compounds in a Petrochemical Region in Arid of NW China: Chemical Reactivity and Source Apportionment.png)
Atmosphere
OAAI
AtmosphereIF0
OAAIShareSave
View more