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Markus Peer Rumpfkeil
Markus Peer Rumpfkeil
Professor in Mechanical and Aerospace Engineering, University of Dayton
Verified email at udayton.edu - Homepage
Title
Cited by
Cited by
Year
Analysis and optimization of ducted wind turbines
TA Khamlaj, MP Rumpfkeil
Energy 162, 1234-1252, 2018
1142018
Design optimization utilizing gradient/hessian enhanced surrogate model
W Yamazaki, M Rumpfkeil, D Mavriplis
28th AIAA applied aerodynamics conference, 4363, 2010
952010
The optimal control of unsteady flows with a discrete adjoint method
MP Rumpfkeil, DW Zingg
Optimization and Engineering 11, 5-22, 2010
722010
Optimizations under uncertainty using gradients, Hessians, and surrogate models
MP Rumpfkeil
AIAA journal 51 (2), 444-451, 2013
462013
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
432007
Theoretical analysis of shrouded horizontal axis wind turbines
TA Khamlaj, MP Rumpfkeil
Energies 10 (1), 38, 2017
412017
All-at-once approach to multifidelity polynomial chaos expansion surrogate modeling
DE Bryson, MP Rumpfkeil
Aerospace Science and Technology 70, 121-136, 2017
352017
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
Efficient hessian calculations using automatic differentiation and the adjoint method with applications
MP Rumpfkeil, DJ Mavriplis
AIAA journal 48 (10), 2406-2417, 2010
322010
A hybrid algorithm for far-field noise minimization
MP Rumpfkeil, DW Zingg
Computers & Fluids 39 (9), 1516-1528, 2010
312010
Construction of dynamic multifidelity locally optimized surrogate models
MP Rumpfkeil, P Beran
Aiaa Journal 55 (9), 3169-3179, 2017
292017
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
Unified framework for training point selection and error estimation for surrogate models
K Boopathy, MP Rumpfkeil
Aiaa Journal 53 (1), 215-234, 2015
272015
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
262010
Analytical benchmark problems for multifidelity optimization methods
L Mainini, A Serani, MP Rumpfkeil, E Minisci, D Quagliarella, H Pehlivan, ...
arXiv preprint arXiv:2204.07867, 2022
242022
Multifidelity quasi-newton method for design optimization
DE Bryson, MP Rumpfkeil
AIAA Journal 56 (10), 4074-4086, 2018
222018
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
222008
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
Multifidelity sparse polynomial chaos surrogate models applied to flutter databases
MP Rumpfkeil, PS Beran
AIAA Journal 58 (3), 1292-1303, 2020
192020
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