| Autor: |
Henri Dolfen, Vince Browaeys, Joris Degroote, Jolan Wauters |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
AIAA Aviation 2019 Forum. |
| DOI: |
10.2514/6.2019-2987 |
| Popis: |
The research presented treats the robust design optimization (RDO) of an unmanned aerialvehicle (UAV) considering geometric uncertainty related to its production process. RDO re-quires uncertainty quantification (UQ) in a number of design points, making it computationallyexpensive. Therefore, surrogate modelling is employed to efficiently perform the optimization.The optimization is regarded as a multi-objective optimization (MOO) of expected value andvariance. The goal is to obtain a Pareto set of non-dominated solutions. Several methods areassessed by applying them to an analytical test function. Subsequently, the RDO of a UAV with forward swept planform and the validation of the resulting optimal points are performed. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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