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library.bib.bak
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% This file was created with JabRef 2.10.
% Encoding: UTF-8
@TechReport{BPp.l.c.2016,
Title = {{BP Statistical Review of World Energy June 2016}},
Author = {BP p.l.c.},
Year = {2016},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/BP p.l.c. - 2016 - BP Statistical Review ofWorld Energy June 2016.pdf:pdf}
}
@PhdThesis{Ozkaya2014,
Title = {{One-shot methods for aerodynamic shape optimization}},
Author = {{\"{O}}zkaya, Emre},
Year = {2014},
Doi = {999910358173},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/{\"{O}}zkaya, Gauger - 2014 - One-shot methods for aerodynamic shape optimization.pdf:pdf},
Keywords = {Mathematik,aerodynamic shape optimization,automatic differentiation,optimization with PDEs}
}
@Misc{Dakota2016,
Title = {{Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.5 Theory Manual}},
Author = {Adams, Brian M. and {Mohamed S.}, Ebeida and Eldred, Michael S. and Geraci, Gianluca and Jakeman, John D. and Maupin, Kathryn A. and Monschke, Jason A. and Swiler, Laura P. and Stephens, J. Adam and Vigil, Dena M. and Wildey, Timothy M.},
Year = {2016},
Pages = {91},
Url = {https://dakota.sandia.gov/sites/default/files/docs/6.5/Theory-6.5.0.pdf}
}
@Article{ahmed2003,
Title = {On the Aero-Mechanical Design of Multistage Axial Compressors using Parallel Optimization Algorithms},
Author = {Ahmed, R. and Lawerenz, M.},
Journal = {16th Symposium on air breathing engines ISABE 2003},
Year = {2003},
Owner = {andreas},
Timestamp = {2018.07.05}
}
@Book{akin2013praktische,
Title = {Praktische Geostatistik: eine Einf{\"u}hrung f{\"u}r den Bergbau und die Geowissenschaften},
Author = {Akin, Hikmet and Siemes, Heinrich},
Publisher = {Springer-Verlag},
Year = {2013}
}
@Misc{AIAA2005,
Title = {{Recommended Practice: The CFD General Notation System – Standard Interface Data Structures (AIAA R-101A-2005)}},
Author = {{American Institute of Aeronautics and Astronautics (AIAA)}},
Year = {2005},
__markedentry = {[andreas:6]},
Owner = {andreas},
Timestamp = {2018.09.20}
}
@Book{anderson1995computational,
Title = {Computational fluid dynamics},
Author = {Anderson, John David and Wendt, J},
Publisher = {Springer},
Year = {1995},
Volume = {206}
}
@InProceedings{Ashcroft_2010,
Title = {{High-Order Accurate Implicit Runge-Kutta Schemes for the Simulation of Unsteady Flow Phenomena in Turbomachinery}},
Author = {Ashcroft, G and Heitkamp, K and K{\"{u}}geler, E},
Booktitle = {V European Conference on Computational Fuild Dynamics ECCOMAS CFD, Lisbon, Portugal},
Year = {2010}
}
@Article{MarcelErsatzmodelle,
Title = {{Erstellung und Verwendung von Ersatzmodellen}},
Author = {Aulich, Marcel},
Journal = {Internes Paper},
Year = {2012}
}
@Article{aulich2019,
Title = {Surrogate Estimations of Complete Flow Fields of Fan Stage Designs via Deep Neural Networks},
Author = {Aulich, M. and Kueppers, F. and Schmitz, A. and Voß, C.},
Journal = {Proceedings of ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition},
Year = {2019},
Owner = {andreas},
Timestamp = {2018.12.17}
}
@InProceedings{AULICH,
Title = {{High-Dimensional Constrained Multiobjective Optimization of a Fan Stage}},
Author = {Aulich, M and Siller, U},
Booktitle = {ASME GT2011-45618},
Year = {2011}
}
@Article{Avron2011,
Title = {{Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix}},
Author = {Avron, Haim and Toledo, Sivan},
Journal = {Journal of the ACM},
Year = {2011},
Month = {apr},
Number = {2},
Pages = {1--34},
Volume = {58},
Doi = {10.1145/1944345.1944349},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Avron, Toledo - 2011 - Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix.pdf:pdf},
ISSN = {00045411},
Keywords = {Trace estimation,implicit linear operators},
Publisher = {ACM},
Url = {http://portal.acm.org/citation.cfm?doid=1944345.1944349}
}
@Article{BACK12,
Title = {{Gradient Enhanced Surrogate Models Based on Adjoint CFD Methods for the Design of a Counter Rotating Turbofan}},
Author = {Backhaus, J and Aulich, M and Frey, C and Lengyel, T and Vo{\ss}, C},
Journal = {ASME Turbo Expo},
Year = {2012}
}
@Article{Backhaus,
Title = {{Application of an Algorithmically Differentiated Turbomachinery Flow Solver to the Optimization of a Fan Stage}},
Author = {Backhaus, Jan and Schmitz, Andreas and Frey, Christian and Mann, Sebastian and Nagel, Marc and Sagebaum, Max and Gauger, Nicolas R},
Year = {2017},
Pages = {1--20},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Backhaus et al. - 2017 - Application of an Algorithmically Differentiated Turbomachinery Flow Solver to the Optimization of a Fan Stage.pdf:pdf}
}
@InProceedings{Baert2015,
Title = {{Surrogate-Based Optimisation for a Mixed-Variable Design Space: Proof of Concept and Opportunities for Turbomachinery Applications}},
Author = {Baert, Lieven and Beauthier, Charlotte and Leborgne, Micha{\"{e}}l and Lepot, Ingrid},
Booktitle = {Volume 2C: Turbomachinery},
Year = {2015},
Month = {jun},
Pages = {V02CT45A015},
Publisher = {ASME},
Doi = {10.1115/GT2015-43254},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Baert et al. - 2015 - Surrogate-Based Optimisation for a Mixed-Variable Design Space Proof of Concept and Opportunities for Turbomachine.pdf:pdf},
ISBN = {978-0-7918-5665-9},
Keywords = {Design,Optimization,Turbomachinery},
Url = {http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?doi=10.1115/GT2015-43254}
}
@Article{Bai2018,
Title = {Pressure Predictions of Turbine Blades with Deep Learning},
Author = {Cheng’an Bai and Chao Zhou},
Journal = {CoRR},
Year = {2018},
Volume = {abs/1806.06940},
__markedentry = {[andreas:6]},
Archiveprefix = {arXiv},
Owner = {andreas},
Timestamp = {2018.09.20},
Url = {http://arxiv.org/abs/1806.06940}
}
@Book{bandemer1980theorie,
Title = {Theorie und Anwendung der optimalen Versuchsplanung},
Author = {Bandemer, H.},
Publisher = {Akademie-Verlag},
Year = {1980},
Number = {Bd. 2},
Series = {Mathematische Lehrb{\"u}cher und Monographien: Mathematische Monographien},
Lccn = {78357897},
Url = {https://books.google.de/books?id=l1XQAAAAMAAJ}
}
@InProceedings{TRACE4,
Title = {{Recent Progress in a Hybrid-Grid CFD Solver for Turbomachinery Flows}},
Author = {Becker, K and Heitkamp, K and K{\"{u}}geler, E},
Booktitle = {V European Conference on Computational Fuild Dynamics ECCOMAS CFD, Lisbon, Portugal},
Year = {2010}
}
@Book{Bellman1972,
Title = {{Dynamic programming.}},
Author = {Bellman, Richard},
Publisher = {Princeton University Press},
Year = {1972},
Abstract = {"A Rand Corporation research study."},
ISBN = {069107951X},
Pages = {342}
}
@Book{bisplinghoff1957aeroelasticity,
Title = {Aeroelasticity},
Author = {Bisplinghoff, Raymond L and Ashley, Holt and Halfman, Robert L},
Publisher = {Addisin-Wesley},
Year = {1957}
}
@Article{box1958note,
Title = {{A note on the generation of random normal deviates}},
Author = {Box, George E P and Muller, Mervin E},
Journal = {The annals of mathematical statistics},
Year = {1958},
Number = {29},
Pages = {610--611}
}
@Book{Braunling2004,
Title = {{Flugzeugtriebwerke: Grundlagen, Aero-Thermodynamik, Kreisprozesse, Thermische Turbomaschinen, Komponenten- und Emissionen}},
Author = {Br{\"{a}}unling, W J},
Publisher = {Springer},
Year = {2004},
Series = {VDI-Buch Series},
ISBN = {9783540405894}
}
@Book{bronteijn2008taschenbuch,
Title = {{Taschenbuch der Mathematik}},
Author = {Bronstejn, I N and Semendjajew, K A},
Publisher = {Harri Deutsch},
Year = {2008},
ISBN = {9783817120079}
}
@Article{Brooks,
Title = {{MULTI-FIDELITY DESIGN OPTIMISATION OF A TRANSONIC COMPRESSOR ROTOR}},
Author = {Brooks, C J and Forrester, -A I J and Keane, -A J and Shahpar, S},
Journal = {9th European Conf. Turbomachinery Fluid Dynamics and Thermodynamics, Istanbul, Turkey},
Year = {2011},
Abstract = {This paper demonstrates the application of Kriging based approximations to the aerodynamic shape optimisation of a transonic compressor rotor where multiple fidelities of analysis are available. An extension to the co-Kriging method is implemented, and attention is paid to the efficient construction of the approximate models. The initial data sample within each level of the model is selected using space-filling designs, and the covariance structure of the co-Kriging models is obtained using a maximum likelihood estimation based on gradient optimisation with adjoint functions. An efficient leave-one-out cross-validation method is used to estimate model accuracy and is used to guide initial model refinement. NOMENCLATURE $\eta$ P µ L isentropic efficiency pressure ratio regression model coefficients concentrated log likelihood ˙ m $\sigma$ 2 $\sigma$ y massflow rate scaling hyperparameter residual process variance prediction variance INTRODUCTION The performance of turbomachinery components is often assessed at the design stage using high-fidelity Reynolds-Averaged Navier-Stokes (RANS) computational fluid dynamics solvers. Such solvers are computationally expensive in nature, and their use in design optimisation becomes infeasible for large design problems given a limited computational budget. This paper addresses the aerodynamic shape optimisation of a transonic compressor rotor on a limited computational budget. Kriging response surface models of the rotor performance measures are used as an inexpensive ap-proximation in place of direct solver calls. Kriging has found extensive use in the aerospace industry, providing a highly flexible method capable of representing complicated responses (Forrester et al., 2008). Given a strict computational budget, any global optimisation framework based on Kriging models must be able to cope with potentially sparse data sampling and high problem dimensions. Computational Fluid Dynamics (CFD) simulation codes can often be run at different levels of complexity both in terms of the mathematical model being used, and in terms of the resolution of the computational grid. For example, a high-fidelity, slow solution can be obtained on a fine grid and a low-fidelity solution with a much faster computation time can be obtained on a coarse grid. Here, a multi-fidelity co-Kriging method based on the auto-regressive model of Kennedy and O'Hagan (2000) is described, where response surface models of the high-fidelity function are constructed from a combination of computationally expensive high-fidelity data and cheap low-fidelity data. Global response surface accuracy is improved by correlating densely sampled low-fidelity data with sparsely sampled high-fidelity data. Strategies for updating the Kriging models with new designs are outlined, 1},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Brooks et al. - 2011 - MULTI-FIDELITY DESIGN OPTIMISATION OF A TRANSONIC COMPRESSOR ROTOR.pdf:pdf}
}
@Article{cetin1987application,
Title = {{Application of Modified Loss Correlations to Transonic Axial Compressors}},
Author = {Cetin, M},
Journal = {AGARD Report},
Year = {1987},
Volume = {745}
}
@InProceedings{Chahine2012,
Title = {{The Influence of Metamodeling Techniques on the Multidisciplinary Design Optimization of a Radial Compressor Impeller}},
Author = {Chahine, Christopher and Seume, Joerg R. and Verstraete, Tom},
Booktitle = {Volume 8: Turbomachinery, Parts A, B, and C},
Year = {2012},
Month = {jun},
Pages = {1951},
Publisher = {ASME},
Doi = {10.1115/GT2012-68358},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Chahine, Seume, Verstraete - 2012 - The Influence of Metamodeling Techniques on the Multidisciplinary Design Optimization of a Radial Co.pdf:pdf},
ISBN = {978-0-7918-4474-8},
Keywords = {Compressor impellers,Design,Optimization},
Url = {http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?doi=10.1115/GT2012-68358}
}
@Article{chung2004,
Title = {Multiobjective Optimization Using Approximation Model-Based Genetic Algorithms},
Author = {Chung, H.-S. and Alonso, J. J.},
Journal = {10th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization AIAA 2004-4325.},
Year = {2004},
Owner = {andreas},
Timestamp = {2018.07.05}
}
@Article{Connor1994,
Title = {Recurrent neural networks and robust time series prediction},
Author = {J. T. Connor and R. D. Martin and L. E. Atlas},
Journal = {IEEE Transactions on Neural Networks},
Year = {1994},
Month = {März},
Number = {2},
Pages = {240-254},
Volume = {5},
__markedentry = {[andreas:6]},
Doi = {10.1109/72.279188},
ISSN = {1045-9227},
Keywords = {filtering and prediction theory;learning (artificial intelligence);parameter estimation;recurrent neural nets;stochastic processes;time series;NARMA(p,q) model;Puget Power Electric Demand time series;outlier filtering;parameter estimation;recurrent neural networks;robust time series prediction;Autoregressive processes;Feedforward neural networks;Filtering algorithms;Least squares methods;Load forecasting;Neural networks;Parameter estimation;Predictive models;Recurrent neural networks;Robustness},
Owner = {andreas},
Timestamp = {2018.09.20}
}
@Book{Cook2012,
Title = {{CUDA Programming}},
Author = {Cook, Shane},
Publisher = {Morgan Kaufmann},
Year = {2012},
Archiveprefix = {arXiv},
Arxivid = {arXiv:1011.1669v3},
Doi = {10.1017/CBO9781107415324.004},
Eprint = {arXiv:1011.1669v3},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Cook - 2012 - CUDA Programming.pdf:pdf},
ISBN = {9788578110796},
ISSN = {1098-6596},
Keywords = {icle},
Pages = {565},
Pmid = {25246403}
}
@InProceedings{cox1992statistical,
Title = {A statistical method for global optimization},
Author = {Cox, Dennis D and John, Susan},
Booktitle = {[Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics},
Year = {1992},
Organization = {IEEE},
Pages = {1241--1246}
}
@Article{cressie1990origins,
Title = {The origins of kriging},
Author = {Cressie, Noel},
Journal = {Mathematical geology},
Year = {1990},
Number = {3},
Pages = {239--252},
Volume = {22},
Publisher = {Springer}
}
@Book{Cressie1993,
Title = {{Statistics for Spatial Data}},
Author = {Cressie, Noel A. C.},
Publisher = {John Wiley {\&} Sons.},
Year = {1993},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Cressie - 1993 - Statistics for Spatial Data.pdf:pdf}
}
@Article{creveling1968axial,
Title = {{Axial-Flow Compressor Computer Program for Calculating Off-Design Performance}},
Author = {Creveling, H and Carmody, R},
Journal = {NASA CR},
Year = {1968},
Volume = {72472}
}
@Book{CumpstyCompAeroy,
Title = {{Compressor Aerodynamics}},
Author = {Cumpsty, N},
Publisher = {Krieger Publishing Company},
Year = {2004}
}
@Article{dagum1998openmp,
Title = {OpenMP: an industry standard API for shared-memory programming},
Author = {Dagum, Leonardo and Menon, Ramesh},
Journal = {IEEE computational science and engineering},
Year = {1998},
Number = {1},
Pages = {46--55},
Volume = {5},
Publisher = {IEEE}
}
@Article{Davis1997,
Title = {{Six factors which affect the condition number of matrices associated with kriging}},
Author = {Davis, G and Morris, M},
Journal = {Mathematical Geology},
Year = {1997},
Number = {5},
Pages = {669--683},
Volume = {29},
Abstract = {Abstract Determining kriging weights to estimate some variable$\backslash$nof interest at a given point in the field involves solving a system$\backslash$nof linear equations. The matrix of this linear system is subject$\backslash$nto numerical instability, and this instability is measured by the$\backslash$nmatrix condition number. Six parameters in the kriging process have$\backslash$nbeen identified which directly affect this condition number. Analysis$\backslash$nof a series of 648 experiments gives some insight on these parameters,$\backslash$nand how the condition number relates to kriging variance.},
Doi = {10.1007/BF02769650},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Davis, Morris - 1997 - Six factors which affect the condition number of matrices associated with kriging.pdf:pdf},
ISSN = {0882-8121},
Keywords = {conditioning,robustness,stability},
Url = {http://dx.doi.org/10.1007/BF02769650}
}
@InCollection{deb2014multi,
Title = {Multi-objective optimization},
Author = {Deb, Kalyanmoy},
Booktitle = {Search methodologies},
Publisher = {Springer},
Year = {2014},
Pages = {403--449}
}
@Book{delfiner2009geostatistics,
Title = {{Geostatistics: modeling spatial uncertainty}},
Author = {Delfiner, Pierre and Others},
Publisher = {Wiley-Interscience},
Year = {2009},
Volume = {497}
}
@Article{denton1993loss,
Title = {{Loss Mechanisms in Turbomachines}},
Author = {Denton, J},
Journal = {Journal of Turbomachinery},
Year = {1993},
Number = {4},
Pages = {621--656},
Volume = {115},
Publisher = {American Society of Mechanical Engineers}
}
@InProceedings{denton1977throughflow,
Title = {{Throughflow Calculations for Transonic Axial Flow Turbines}},
Author = {Denton, J},
Booktitle = {Turbomachinery developments in steam and gas turbines: Presented at the winter annual meeting of the American Society of Mechanical Engineers, Atlanta, Georgia, November 27-December 2, 1977},
Year = {1977},
Organization = {ASME},
Pages = {11}
}
@Article{Domercq2006,
Title = {{Advances in Axial Compressor Aerodynamics}},
Author = {Domercq, Olivier},
Journal = {Lecture Series 2006-06},
Year = {2006},
Pages = {38},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Domercq - 2006 - Advances in Axial Compressor Aerodynamics.pdf:pdf}
}
@Misc{boostfunction,
Title = {{Boost Function}},
Author = {Douglas, Gregor},
Year = {2004},
Url = {http://www.boost.org/}
}
@Unpublished{Drela2008,
Title = {{A User's Guide to MISES 2.63}},
Author = {Drela, Mark and Youngren, Harold},
Year = {2008},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Drela, Youngren - 2008 - A User's Guide to MISES 2.63.pdf:pdf},
Institution = {MIT Aerospace Computational Design Laboratory},
Url = {http://web.mit.edu/drela/Public/web/mises/mises.pdf}
}
@Article{Dworak2011,
Title = {{MIDDLEWARE TRENDS AND MARKET LEADERS 2011}},
Author = {Dworak, A and Ehm, F and Sliwinski, W and Sobczak, M},
Journal = {CERN},
Year = {2011},
Abstract = {The Controls Middleware (CMW) project was launched over ten years ago. Its main goal was to unify middleware solutions used to operate CERN accelerators. An important part of the project, the equipment access library RDA, was based on CORBA, an unquestionable standard at the time. RDA became an operational and critical part of the infrastructure, yet the demanding run-time environment revealed some shortcomings of the system. Accumulation of fixes and workarounds led to unnecessary complexity. RDA became difficult to maintain and to extend. CORBA proved to be rather a cumbersome product than a panacea. Fortunately, many new transport frameworks appeared since then. They boasted a better design and supported concepts that made them easy to use. Willing to profit from the new libraries, the CMW team updated user requirements and in their terms investigated eventual CORBA substitutes. The process consisted of several phases: a review of middleware solutions belonging to different categories (e.g. data-centric, object-, and message-oriented) and their applicability to a communication model in RDA; evaluation of several market recognized products and promising start-ups; prototyping of typical communication scenarios; testing the libraries against exceptional situations and errors; verifying that mandatory performance constraints were met. Thanks to the performed investigation the team have selected a few libraries that suit their needs better than CORBA. Further prototyping will select the best candidate.},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Dworak et al. - 2011 - MIDDLEWARE TRENDS AND MARKET LEADERS 2011.pdf:pdf}
}
@Article{EG1999,
Title = {Working Range Optimization for Turbine and Compressor Blading},
Author = {W. Egartner},
Journal = {J. f. Computational and Applied Mathematics},
Year = {1999},
Owner = {andreas},
Timestamp = {2018.07.05}
}
@Article{EG1998,
Title = {Partially Reduced SQP Methods for Optimal Turbine and Compressor Blade Design},
Author = {W. Egartner and V.H. Schulz},
Journal = {ENUMATH 97},
Year = {1998},
Owner = {andreas},
Timestamp = {2018.07.05}
}
@Book{ehrgott2005multicriteria,
Title = {Multicriteria optimization},
Author = {Ehrgott, Matthias},
Publisher = {Springer Science \& Business Media},
Year = {2005},
Volume = {491}
}
@Article{Eifinger2013,
Title = {{Validierung eines Gradient Enhanced Kriging Verfahrens anhand einer Parameterstudie am Profilschnitt eines Fans}},
Author = {Eifinger, P},
Journal = {Projektarbeit},
Year = {2013}
}
@Article{Elfert2016,
Title = {{Experimental and Numerical Verification of An Optimization of a Fast Rotating High Performance Radial Compressor Impeller}},
Author = {Elfert, M and Weber, A and Wittrock, D and Peters, A and Voss, C and Nicke, E},
Journal = {ASME Turbo Expo},
Year = {2016},
Pages = {1--12},
Doi = {10.1115/GT2016-56546},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Elfert et al. - 2016 - Experimental and Numerical Verification of An Optimization of a Fast Rotating High Performance Radial Compressor.pdf:pdf},
ISBN = {9780791849729},
Keywords = {GT2016-56546}
}
@PhdThesis{emmerich2005single,
Title = {Single-and multi-objective evolutionary design optimization assisted by gaussian random field metamodels},
Author = {Emmerich, Michael},
Year = {2005},
Journal = {Dissertation, LS11, FB Informatik, Universit{\"a}t Dortmund, Germany}
}
@Article{emmerich2008computation,
Title = {The computation of the expected improvement in dominated hypervolume of Pareto front approximations},
Author = {Emmerich, Michael and Klinkenberg, Jan-willem},
Journal = {Rapport technique, Leiden University},
Year = {2008},
Volume = {34},
Publisher = {Citeseer}
}
@Article{GERDRIG250,
Title = {{Experimental Investigations of a Four-Stage Axial Compressor Equipped with Casing Treatment over Two Rotor Blade Rows}},
Author = {Enders, G and Dabrock, T and Voigt, C and {Dr. Nicke}, E and Johann, E},
Journal = {ASME Turbo Expo},
Year = {2012}
}
@InProceedings{kuesters2007,
Title = {Design and Validation of a Compressor for a New Generation of Heavy-Duty Gas Turbines},
Author = {Eulitz, F and Kuesters, B and Mildner, F and Mittelbach, Marc and Peters, A and van den Toorn, Bernd and Waltke, Ulrich and Rimmington, P and Wasdell, D},
Year = {2007},
Month = {01},
Doi = {10.1115/POWER2007-22100}
}
@Book{fahrmeir2015multivariate,
Title = {Multivariate statistische verfahren},
Author = {Fahrmeir, Ludwig and Hamerle, Alfred and Tutz, Gerhard},
Publisher = {Walter de Gruyter GmbH \& Co KG},
Year = {2015}
}
@Misc{AGN,
Title = {{Software optimization resources}},
Author = {Fog, Agner},
Year = {2013},
Url = {http://www.agner.org/}
}
@InProceedings{forrester2006optimization,
Title = {Optimization using surrogate models and partially converged computational fluid dynamics simulations},
Author = {Forrester, Alexander IJ and Bressloff, Neil W and Keane, Andy J},
Booktitle = {Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences},
Year = {2006},
Number = {2071},
Organization = {The Royal Society},
Pages = {2177--2204},
Volume = {462}
}
@Article{forrester2009recent,
Title = {{Recent advances in surrogate-based optimization}},
Author = {Forrester, Alexander I J and Keane, Andy J},
Journal = {Progress in Aerospace Sciences},
Year = {2009},
Number = {1},
Pages = {50--79},
Volume = {45},
Publisher = {Elsevier}
}
@Article{forrester2007multi,
Title = {{Multi-fidelity optimization via surrogate modelling}},
Author = {Forrester, Alexander I J and S{\'{o}}bester, Andr{\'{a}}s and Keane, Andy J},
Journal = {Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science},
Year = {2007},
Number = {2088},
Pages = {3251--3269},
Volume = {463},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Forrester, S{\'{o}}bester, Keane - 2007 - Multi-fidelity optimization via surrogate modelling.pdf:pdf},
Publisher = {The Royal Society}
}
@Book{Forrester2008,
Title = {{Engineering design via surrogate modelling : a practical guide}},
Author = {Forrester, Alexander I. J. and Sobester, Andras and Keane, A. J.},
Publisher = {J. Wiley},
Year = {2008},
Abstract = {Sampling plans -- Constructing a surrogate -- Exploring and exploiting a surrogate -- Visualization -- Constraints -- Infill criteria with noisy data -- Exploiting gradient information -- Multi-fidelity analysis -- Multiple design objectives.},
ISBN = {0470060689},
Pages = {210}
}
@Article{TRACE1,
Title = {{Das DLR-Verfahren TRACE: Moderne Simulationstechniken f{\"{u}}r Turbomaschinenstr{\"{o}}mungen}},
Author = {Franke, M and K{\"{u}}geler, E and N{\"{u}}rnberger, D},
Journal = {Deutscher Luft- und Raumfahrtkongress JT2005-211},
Year = {2005}
}
@InProceedings{Franke2005,
Title = {Das DLR-Verfahren TRACE: Moderne Simulationstechniken f{\"u}r Turbomaschinenstr{\"o}mungen},
Author = {Martin Franke and Edmund K{\"u}geler and Dirk N{\"u}rnberger},
Booktitle = {Deutscher Luft- und Raumfahrtkongress 2005},
Year = {2005},
Editor = { DGLR},
__markedentry = {[andreas:6]},
Journal = {DGLR-Jahrbuch},
Keywords = {CFD, Turbomaschinen},
Owner = {andreas},
Timestamp = {2018.09.20},
Url = {https://elib.dlr.de/22423/}
}
@Book{friedman2001elements,
Title = {The elements of statistical learning},
Author = {Friedman, Jerome and Hastie, Trevor and Tibshirani, Robert},
Publisher = {Springer series in statistics New York, NY, USA:},
Year = {2001},
Number = {10},
Volume = {1}
}
@Article{GOERK12,
Title = {{Aerodynamic and Mechanical Optimization of CF/PEEK Blades of a Counter Rotating Fan}},
Author = {G{\"{o}}rke, Daniel and {Le Denmat}, Anne-Laure and Schmidt, Thomas and Kocian, Frank and Nicke, Eberhard},
Journal = {ASME Turbo Expo},
Year = {2012}
}
@Article{gallimore1986spanwise,
Title = {{Spanwise Mixing in Multistage Axial Flow Compressors: Part II—Throughflow Calculations Including Mixing}},
Author = {Gallimore, S J},
Journal = {Journal of Turbomachinery},
Year = {1986},
Pages = {10},
Volume = {108}
}
@Article{gallimore1986spanwise1,
Title = {{Spanwise Mixing in Multistage Axial Flow Compressors: Part I—Experimental Investigation}},
Author = {Gallimore, S J and Cumpsty, N},
Journal = {Journal of turbomachinery},
Year = {1986},
Pages = {2},
Volume = {108}
}
@Book{Gen2000,
Title = {{Genetic algorithms and engineering optimization}},
Author = {Gen, Mitsuo and Cheng, Runwei.},
Publisher = {Wiley},
Year = {2000},
Abstract = {"A Wiley-Interscience publication."},
ISBN = {0471315311},
Pages = {495}
}
@Book{gere1965analysis,
Title = {Analysis of framed structures},
Author = {Gere, J.M. and Weaver, W.},
Publisher = {Van Nostrand},
Year = {1965},
Series = {University series in civil engineering and applied mechanics},
Lccn = {lc65008645},
Url = {https://books.google.de/books?id=Rd08AAAAIAAJ}
}
@Article{Gian2006,
Title = {Hierarchical and Distributed Metamodel-Assisted Evolutionary Algorithms},
Author = {Giannakoglou, K. C. and Karakasis, M. K.},
Journal = {VKI Lecture Series},
Year = {2006},
Owner = {andreas},
Timestamp = {2018.07.05}
}
@Article{gibbs1997efficient,
Title = {{Efficient implementation of Gaussian processes}},
Author = {Gibbs, Mark and MacKay, David J C},
Year = {1997},
Publisher = {Citeseer}
}
@Article{Giles2008,
Title = {{Collected matrix derivative results for forward and reverse mode AD}},
Author = {Giles, M B},
Journal = {Lecture Notes in Computational Science and Engineering},
Year = {2008},
Pages = {34--44},
Volume = {64},
Abstract = {This paper collects together a number of matrix derivative results which are very useful in forward and reverse mode AD. It highlights in particular the re-markable contribution of a 1948 paper by Dwyer and Macphail which derives the linear and adjoint sensitivities of a matrix product, inverse and determinant, and a number of related results motivated by applications in multivariate analysis in statis-tics.},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Giles - 2008 - Collected matrix derivative results for forward and reverse mode AD.pdf:pdf}
}
@Article{giles1990,
Title = {{Nonreflecting Boundary Conditions for Euler Equation Calculations}},
Author = {Giles, M B},
Journal = {AIAA Journal Vol. 28 No. 12, 1990, pp 2050 2058},
Year = {1990}
}
@Article{gill2007numerical,
Title = {{Numerical linear algebra and optimization}},
Author = {Gill, Phil},
Year = {2007},
Publisher = {McMaster University, 1280 Main Street West, McMaster University, Hamilton, Ontario, Canada, L8S4K1 http://iccopt-mopta. mcmaster. ca/ocs/}
}
@Article{gill1981practical,
Title = {{Practical optimization}},
Author = {Gill, Philip E and Murray, Walter and Wright, Margaret H},
Year = {1981},
Publisher = {Academic press}
}
@InProceedings{Glorot2010,
Title = {Understanding the difficulty of training deep feedforward neural networks},
Author = {Xavier Glorot and Yoshua Bengio},
Booktitle = {Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics},
Year = {2010},
Address = {Chia Laguna Resort, Sardinia, Italy},
Editor = {Yee Whye Teh and Mike Titterington},
Month = {Mai},
Pages = {249--256},
Publisher = {PMLR},
Series = {Proceedings of Machine Learning Research},
Volume = {9},
__markedentry = {[andreas:6]},
File = {glorot10a.pdf:http\://proceedings.mlr.press/v9/glorot10a/glorot10a.pdf:PDF},
Owner = {andreas},
Timestamp = {2018.09.20},
Url = {http://proceedings.mlr.press/v9/glorot10a.html}
}
@Article{goinis2018,
Title = {{Entwicklung und Anwendung von modernen optimierungsfähigen Auslegungsverfahren unter Berücksichtigung des Realgaseinflusses}},
Author = {Goinis, Georgios},
Journal = {Forschungsvorhaben 03ET7040R Verbundvorhaben COOREFLEX-turbo Teilvorhaben 1.2.4d},
Year = {2018},
Owner = {andreas},
Timestamp = {2018.09.17}
}
@InProceedings{goinis2016optimizing,
Title = {Optimizing Surge Margin and Efficiency of a Transonic Compressor},
Author = {Goinis, Georgios and Nicke, Eberhard},
Booktitle = {ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition},
Year = {2016},
Organization = {American Society of Mechanical Engineers},
Pages = {V02AT37A048--V02AT37A048}
}
@Electronic{US2009,
Title = {Code of Federal Regulations - 15 CFR Ch. VII (1–1–09 Edition) §744},
Author = {US Government},
Url = {https://www.govinfo.gov/content/pkg/CFR-2009-title15-vol2/pdf/CFR-2009-title15-vol2-sec744-2.pdf},
Year = {2009},
Owner = {schm_ad},
Timestamp = {2019.03.04}
}
@Article{Graves2009,
Title = {A Novel Connectionist System for Unconstrained Handwriting Recognition},
Author = {A. Graves and M. Liwicki and S. Fernández and R. Bertolami and H. Bunke and J. Schmidhuber},
Journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
Year = {2009},
Month = {May},
Number = {5},
Pages = {855-868},
Volume = {31},
__markedentry = {[andreas:6]},
Doi = {10.1109/TPAMI.2008.137},
ISSN = {0162-8828},
Keywords = {handwriting recognition;handwritten character recognition;hidden Markov models;image segmentation;recurrent neural nets;connectionist system;hidden Markov models;language modeling;overlapping character segmentation;recurrent neural network;unconstrained handwriting databases;unconstrained handwriting text recognition;Character recognition;Databases;Handwriting recognition;Hidden Markov models;Labeling;Recurrent neural networks;Robustness;Size measurement;Speech;Text recognition;Connectionist temporal classification;Handwriting recognition;Long Short-Term Memory;Offline handwriting recognition;Online handwriting recognition;Recurrent neural networks;Unconstrained handwriting recognition;bidirectional long short-term memory;connectionist temporal classification;hidden Markov model.;offline handwriting;online handwriting;recurrent neural networks;0},
Owner = {andreas},
Timestamp = {2018.09.20}
}
@InProceedings{Graves2013,
Title = {Speech recognition with deep recurrent neural networks},
Author = {A. Graves and A. r. Mohamed and G. Hinton},
Booktitle = {2013 IEEE International Conference on Acoustics, Speech and Signal Processing},
Year = {2013},
Month = {May},
Pages = {6645-6649},
__markedentry = {[andreas:6]},
Doi = {10.1109/ICASSP.2013.6638947},
ISSN = {1520-6149},
Keywords = {speech recognition;connectionist temporal classification;deep recurrent neural networks;end-to-end training methods;long short-term memory RNN architecture;sequential data;speech recognition;Acoustics;Noise;Recurrent neural networks;Speech recognition;Training;Vectors;deep neural networks;recurrent neural networks;speech recognition},
Owner = {andreas},
Timestamp = {2018.09.20}
}
@Book{Griewank2008,
Title = {{Evaluating derivatives : principles and techniques of algorithmic differentiation}},
Author = {Griewank, Andreas. and Walther, Andrea},
Publisher = {Society for Industrial and Applied Mathematics},
Year = {2008},
Abstract = {2nd ed. This title is a comprehensive treatment of algorithmic, or automatic, differentiation. The second edition covers recent developments in applications and theory, including an elegant NP completeness argument and an introduction to scarcity. Introduction -- A framework for evaluating functions -- Fundamentals of forward and reverse -- Memory issues and complexity bounds -- Repeating and extending reverse -- Implementation and software -- Sparse forward and reverse -- Exploiting sparsity by compression -- Going beyond forward and reverse -- Jacobian and Hessian accumulation -- Observations on efficiency -- Reversal schedules and checkpointing -- Taylor and tensor coefficients -- Differentiation without differentiability -- Implicit and iterative differentiation -- Epilogue.},
ISBN = {9780898716597},
Pages = {438}
}
@Article{han2012alternative,
Title = {{Alternative Cokriging Method for Variable-Fidelity Surrogate Modeling}},
Author = {Han, Zhonghua and Zimmerman, Ralf and G{\"{o}}rtz, Stefan},
Journal = {AIAA journal},
Year = {2012},
Number = {5},
Pages = {1205--1210},
Volume = {50}
}
@InProceedings{han2009improving,
Title = {{On improving efficiency and accuracy of variable-fidelity surrogate modeling in aero-data for loads context}},
Author = {Han, Zhong-Hua and G{\"{o}}rtz, Stefan and Zimmermann, Ralf},
Booktitle = {Proceeings of European Air and Space Conference},
Year = {2009}
}
@Article{He2016,
Title = {Deep Residual Learning for Image Recognition},
Author = {Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
Journal = {2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
Year = {2016},
Pages = {770-778},
__markedentry = {[andreas:6]},
Owner = {andreas},
Timestamp = {2018.09.20}
}
@Article{NNSchiffmann,
Title = {{Neuronale Netze}},
Author = {Helbig, H and Scherer, A},
Journal = {Vorlesungsskript},
Year = {2011}
}
@InProceedings{hemmert2019,
Title = {High-dimensional multi-fidelity optimisation of a 2.5 stage low pressure compressor},
Author = {Hemmert-Pottmann, Stefan and Voß, Christian},
Booktitle = {ISABE-2019 Conference},
Year = {2019},
Owner = {andreas},
Timestamp = {2018.09.17}
}
@Book{hintjens2013zeromq,
Title = {ZeroMQ: messaging for many applications},
Author = {Hintjens, Pieter},
Publisher = {" O'Reilly Media, Inc."},
Year = {2013}
}
@Article{Hochreiter1997,
Title = {Long Short-Term Memory},
Author = {Hochreiter, Sepp and Schmidhuber, Jürgen},
Journal = {Neural Comput.},
Year = {1997},
Month = {November},
Number = {8},
Pages = {1735--1780},
Volume = {9},
__markedentry = {[andreas:6]},
Acmid = {1246450},
Address = {Cambridge, MA, USA},
Doi = {10.1162/neco.1997.9.8.1735},
ISSN = {0899-7667},
Issue_date = {November 15, 1997},
Numpages = {46},
Owner = {andreas},
Publisher = {MIT Press},
Timestamp = {2018.09.20},
Url = {http://dx.doi.org/10.1162/neco.1997.9.8.1735}
}
@Book{Hodges2011,
Title = {{Introduction to structural dynamics and aeroelasticity}},
Author = {Hodges, Dewey H. and Pierce, G. Alvin.},
Publisher = {Cambridge University Press},
Year = {2011},
Abstract = {2nd ed. Machine generated contents note: 1. Introduction; 2. Mechanics fundamentals; 3. Structural dynamics; 4. Static aeroelasticity; 5. Aerolastic flutter. "This text introduces structural dynamics and aeroelasticity, emphasizing conventional aircraft"-- "The book deals at an elementary level with aeroelasticity, a study of static and dynamic behavior of structures under the influence of fluid flow. The level of material is appropriate for a senior-level undergraduate course or an introductory first-year graduate student"--},
ISBN = {9780521195904},
Pages = {247},
Url = {http://www.cambridge.org/de/academic/subjects/engineering/aerospace-engineering/introduction-structural-dynamics-and-aeroelasticity-2nd-edition?format=HB{\&}isbn=9780521195904}
}
@Article{hoerl2000,
Title = {Ridge Regression: Biased Estimation for Nonorthogonal Problems},
Author = {Arthur E. Hoerl and Robert W. Kennard},
Journal = {Technometrics},
Year = {2000},
Number = {1},
Pages = {80--86},
Volume = {42},
Abstract = {In multiple regression it is shown that parameter estimates based on minimum residual sum of squares have a high probability of being unsatisfactory, if not incorrect, if the prediction vectors are not orthogonal. Proposed is an estimation procedure based on adding small positive quantities to the diagonal of X′X. Introduced is the ridge trace, a method for showing in two dimensions the effects of nonorthogonality. It is then shown how to augment X′X to obtain biased estimates with smaller mean square error.},
ISSN = {00401706},
Publisher = {[Taylor \& Francis, Ltd., American Statistical Association, American Society for Quality]},
Url = {http://www.jstor.org/stable/1271436}
}
@Article{Holland1975,
Title = {{Adaptation in natural and artificial systems. an introductory analysis with applications to biology, control and artificial intelligence}},
Author = {Holland, John H.},
Journal = {Ann Arbor: University of Michigan Press, 1975},
Year = {1975}
}
@InProceedings{Howard1992,
Title = {{Viscous Throughflow Modelling for Multi-Stage Compressor Design}},
Author = {Howard, M. A. and Gallimore, S. J.},
Booktitle = {Volume 1: Turbomachinery},
Year = {1992},
Month = {jun},
Pages = {V001T01A109},
Publisher = {ASME},
Doi = {10.1115/92-GT-302},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Howard, Gallimore - 1992 - Viscous Throughflow Modelling for Multi-Stage Compressor Design.pdf:pdf},
ISBN = {978-0-7918-7893-4},
Keywords = {Compressors,Design,Modeling},
Url = {http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?doi=10.1115/92-GT-302}
}
@Article{huang2006sequential,
Title = {{Sequential kriging optimization using multiple-fidelity evaluations}},
Author = {Huang, Deng and Allen, T T and Notz, W I and Miller, R A},
Journal = {Structural and Multidisciplinary Optimization},
Year = {2006},
Number = {5},
Pages = {369--382},
Volume = {32},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Huang et al. - 2006 - Sequential kriging optimization using multiple-fidelity evaluations.pdf:pdf},
Publisher = {Springer}
}
@Article{Hutchinson1990,
Title = {{A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines}},
Author = {Hutchinson, M.F.},
Journal = {http://dx.doi.org/10.1080/03610919008812866},
Year = {1990},
Abstract = {An unbiased stochastic estimator of tr(I-A), where A is the influence matrix associated with the calculation of Laplacian smoothing splines, is described. The estimator is similar to one recently developed by Girard but satisfies a minimum variance criterion and does not require the simulation of a standard normal variable. It uses instead simulations of the discrete random variable which takes the values 1, -1 each with probability 1/2. Bounds on the variance of the estimator, similar to those established by Girard, are obtained using elementary methods. The estimator can be used to approximately minimize generalised cross validation (GCV) when using discretized iterative methods for fitting Laplacian smoothing splines to very large data sets. Simulated examples show that the estimated trace values, using either the estimator presented here or the estimator of Girard, perform almost as well as the exact values when applied to the minimization of GCV for n as small as a few hundred, where n is the number ...},
File = {:home/schm{\_}ad/.local/share/data/Mendeley Ltd./Mendeley Desktop/Downloaded/Hutchinson - 1990 - A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines.pdf:pdf},
Publisher = {Marcel Dekker, Inc.}
}
@Article{hutchinson1989stochastic,
Title = {{A stochastic estimator of the trace of the influence matrix for Laplacian smoothing splines}},
Author = {Hutchinson, M F},
Journal = {Communications in Statistics-Simulation and Computation},
Year = {1989},
Number = {3},
Pages = {1059--1076},
Volume = {18},
Publisher = {Taylor {\&} Francis}
}
@Book{Isaaks1990,
Title = {{An Introduction to Applied Geostatistics}},
Author = {Isaaks, Edward H. and Srivastava, R. Mohan},
Publisher = {Oxford University Press},