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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 1/2018

03.07.2017 | INDUSTRIAL APPLICATION

The relevance of reliability-based topology optimization in early design stages of aircraft structures

verfasst von: Carlos López, Aitor Baldomir, Santiago Hernández

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 1/2018

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Abstract

This paper aims to compare the structural designs derived from Deterministic Topology Optimization (DTO) and Reliability-Based Topology Optimization (RBTO). The target is to prove that including uncertain data in preliminary stages of the design process such as topology optimization can help to reduce the weight of the component to be conceived. To compare both approaches the same Reliability-Based Design Optimization (RBDO) sizing problem is formulated over the bar structures emerged from the DTO and RBTO results. The RBTO is performed through the RBDO algorithm Sequential Optimization and Reliability Assessment (SORA) based on its robustness, accuracy and decoupled nature, which allows to use an external optimization software when dealing with the topology optimization problem. Three application examples, including two 2D bar structures and a 3D simplified aircraft rear fuselage are studied. The results show that the designs based on RBTO are lighter than the designs based on DTO when both structures are compared in a subsequent reliability-based size optimization including the same probabilistic information.
Vorheriger Artikel A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design
Nächster Artikel Lightweight optimization of the side structure of automobile body using combined grey relational and principal component analysis

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Metadaten
Titel
The relevance of reliability-based topology optimization in early design stages of aircraft structures
verfasst von
Carlos López
Aitor Baldomir
Santiago Hernández
Publikationsdatum
03.07.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 1/2018
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-017-1740-2

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