Aircraft wing box optimization considering uncertainty in surrogate models
| Autor: | Joon Chung, Daniel Neufeld, Kamran Behdinan |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Engineering
Control and Optimization business.industry Probabilistic-based design optimization Control engineering Computational fluid dynamics Computer Graphics and Computer-Aided Design Finite element method Computer Science Applications High fidelity Surrogate model Conceptual design Control and Systems Engineering business Aerospace Engineering design process Software |
| Zdroj: | Structural and Multidisciplinary Optimization. 42:745-753 |
| ISSN: | 1615-1488 1615-147X |
| DOI: | 10.1007/s00158-010-0532-8 |
| Popis: | Aerospace design often involves computationally expensive physics based analysis methods such as Computational Fluid Dynamics (CFD) or the Finite Element Method (FEM). Since conceptual design optimization can require many function evaluations, simplified analysis methods are typically used. Designs optimized with simplified analysis methods may be found to violate design goals when subjected to the high fidelity approaches later in the design process. This paper presents how the uncertainty introduced by an approximation model in the conceptual design of the wing box of a generic light jet can be assessed and managed by applying Reliability Based Design Optimization (RBDO) in order to ensure that a feasible solution is obtained. Additionally, the performance of several alternative RBDO approaches are benchmarked using the wing box conceptual design problem. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink