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Markus Peer Rumpfkeil
Markus Peer Rumpfkeil
Professor in Mechanical and Aerospace Engineering, University of Dayton
Bestätigte E-Mail-Adresse bei udayton.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Analysis and optimization of ducted wind turbines
TA Khamlaj, MP Rumpfkeil
Energy 162, 1234-1252, 2018
1082018
Design optimization utilizing gradient/hessian enhanced surrogate model
W Yamazaki, M Rumpfkeil, D Mavriplis
28th AIAA applied aerodynamics conference, 4363, 2010
932010
The optimal control of unsteady flows with a discrete adjoint method
MP Rumpfkeil, DW Zingg
Optimization and Engineering 11, 5-22, 2010
712010
Optimizations under uncertainty using gradients, Hessians, and surrogate models
MP Rumpfkeil
AIAA journal 51 (2), 444-451, 2013
442013
A general framework for the optimal control of unsteady flows with applications
M Rumpfkeil, D Zingg
45th AIAA Aerospace Sciences Meeting and Exhibit, 1128, 2007
422007
Theoretical analysis of shrouded horizontal axis wind turbines
TA Khamlaj, MP Rumpfkeil
Energies 10 (1), 38, 2017
392017
A dynamic sampling method for kriging and cokriging surrogate models
M Rumpfkeil, W Yamazaki, M Dimitri
49th AIAA Aerospace sciences meeting including the new horizons forum and …, 2011
332011
All-at-once approach to multifidelity polynomial chaos expansion surrogate modeling
DE Bryson, MP Rumpfkeil
Aerospace Science and Technology 70, 121-136, 2017
322017
Efficient hessian calculations using automatic differentiation and the adjoint method with applications
MP Rumpfkeil, DJ Mavriplis
AIAA journal 48 (10), 2406-2417, 2010
322010
Construction of dynamic multifidelity locally optimized surrogate models
MP Rumpfkeil, P Beran
Aiaa Journal 55 (9), 3169-3179, 2017
312017
Fluid-structure interaction of a variable camber compliant wing
SC Miller, MP Rumpfkeil, JJ Joo
53rd AIAA Aerospace Sciences Meeting, 1235, 2015
292015
Uncertainty analysis utilizing gradient and hessian information
MP Rumpfkeil, W Yamazaki, DJ Mavriplis
Computational Fluid Dynamics 2010: Proceedings of the Sixth International …, 2011
292011
A hybrid algorithm for far-field noise minimization
MP Rumpfkeil, DW Zingg
Computers & Fluids 39 (9), 1516-1528, 2010
292010
Unified framework for training point selection and error estimation for surrogate models
K Boopathy, MP Rumpfkeil
Aiaa Journal 53 (1), 215-234, 2015
252015
Uncertainty quantification in viscous hypersonic flows using gradient information and surrogate modeling
B Lockwood, M Rumpfkeil, W Yamazaki, D Mavriplis
49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and …, 2010
232010
Multidisciplinary design optimization of quiet, hybrid-electric small unmanned aerial systems
DE Bryson, CR Marks, RM Miller, MP Rumpfkeil
Journal of Aircraft 53 (6), 1959-1963, 2016
212016
Unsteady optimization using a discrete adjoint approach applied to aeroacoustic shape design
M Rumpfkeil, D Zingg
46th AIAA Aerospace Sciences Meeting and Exhibit, 18, 2008
212008
Multifidelity quasi-newton method for design optimization
DE Bryson, MP Rumpfkeil
AIAA Journal 56 (10), 4074-4086, 2018
202018
Multifidelity sparse polynomial chaos surrogate models applied to flutter databases
MP Rumpfkeil, PS Beran
AIAA Journal 58 (3), 1292-1303, 2020
182020
Multi-fidelity surrogate models for flutter database generation
MP Rumpfkeil, P Beran
Computers & Fluids 197, 104372, 2020
182020
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