High-Fidelity Computational Optimization for 3-D Flexible Wings: Part II—Effect of Random Geometric Uncertainty on Design
| Autor: | Perry A. Newman, Gene Hou, Clyde R. Gumbert |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Airfoil
Propagation of uncertainty Control and Optimization Wing business.industry Automatic differentiation Mechanical Engineering Aerospace Engineering Aerodynamics Computational fluid dynamics Finite element method Control theory Sensitivity (control systems) Electrical and Electronic Engineering business Software Civil and Structural Engineering Mathematics |
| Zdroj: | Optimization and Engineering. 6:139-156 |
| ISSN: | 1389-4420 |
| DOI: | 10.1023/b:opte.0000048540.61839.3c |
| Popis: | The effect of geometric uncertainty due to statistically independent, random, normally distributed shape parameters is demonstrated in the computational design of a 3-D flexible wing. A first-order second-moment statistical approximation method is used to propagate the assumed input uncertainty through coupled Euler CFD aerodynamic/finite element structural codes for both analysis and sensitivity analysis. First-order sensitivity derivatives obtained by automatic differentiation are used in the input uncertainty propagation. These propagated uncertainties are then used to perform a robust design of a simple 3-D flexible wing at supercritical flow conditions. The effect of the random input uncertainties is shown by comparison with conventional deterministic design results. Sample results are shown for wing planform, airfoil section, and structural sizing variables. |
| Databáze: | OpenAIRE |
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