000263570 001__ 263570
000263570 005__ 20190619220159.0
000263570 0247_ $$2doi$$a10.5075/epfl-MATHICSE-263570
000263570 037__ $$aREP_WORK
000263570 245__ $$aMATHICSE Technical Report : A continuation-multilevel Monte Carlo evolutionary algorithm for robust aerodynamic shape design
000263570 269__ $$a2018-04-10
000263570 260__ $$aÉcublens$$c2018-04-10$$bMATHICSE
000263570 300__ $$a25
000263570 336__ $$aWorking Papers
000263570 500__ $$aMATHICSE Technical Report Nr. 06.2018 April 2018
000263570 520__ $$aThe majority of problems in aircraft production and operation require decisions made in the presence of uncertainty. For this reason aerodynamic designs obtained with traditional deterministic optimization techniques seeking only optimality in a specific set of conditions may have very poor off-design performances or may even be unreliable. In this work, we present a novel approach for robust and reliability-based design optimization of aerodynamic shapes based on the combination of single and multi-objective Evolutionary Algorithms and a Continuation Multi Level Monte Carlo methodology to compute objective functions and constraints that involve statistical moments or statistical quantities such as quantiles, also called Value at risk, (VaR) and Conditional Value at Risk (CVaR) without relying on derivatives and meta-models. Detailed numerical studies are presented
000263570 6531_ $$aMulti Level Monte Carlo
000263570 6531_ $$aUncertainty Quantification
000263570 6531_ $$aAerodynamic Design
000263570 6531_ $$aRobust Design Optimization
000263570 6531_ $$aEvolutionary Algorithms
000263570 700__ $$g239930$$aPisaroni, Michele$$0247665
000263570 700__ $$g118353$$aNobile, Fabio$$0241873
000263570 700__ $$0242407$$aLeyland, Pénélope$$g105662
000263570 710__ $$aMATHICSE-Group
000263570 787__ $$whttps://infoscience.epfl.ch/record/254959$$eIs Previous Version Of
000263570 8560_ $$ffabio.nobile@epfl.ch
000263570 8564_ $$yVersion 1$$zVersion 1$$uhttps://infoscience.epfl.ch/record/263570/files/Report-06.2018_MP_FN_PL.pdf$$s2131275
000263570 909C0 $$zJunod, Julien$$xU12495$$pCSQI$$mrachel.bordelais@epfl.ch$$0252411
000263570 909CO $$qGLOBAL_SET$$pworking$$pDOI$$pSB$$ooai:infoscience.epfl.ch:263570
000263570 960__ $$afabio.nobile@epfl.ch
000263570 961__ $$ajulien.junod@epfl.ch
000263570 973__ $$aEPFL
000263570 981__ $$aoverwrite
000263570 980__ $$aREP_WORK