Table Of ContentComputational Methods in Applied Sciences
Esther Andrés-Pérez · Leo M. González
Jacques Periaux · Nicolas Gauger
Domenico Quagliarella
Editors
Kyriakos Giannakoglou
Evolutionary and
Deterministic Methods for
Design Optimization and
Control With Applications
to Industrial and Societal
Problems
Computational Methods in Applied Sciences
Volume 49
Series editor
Eugenio Oñate
Universitat Politècnica de Catalunya
Barcelona, Spain
[email protected]
This series publishes monographs and carefully edited books inspired by the
thematic conferences of ECCOMAS, the European Committee on Computational
MethodsinAppliedSciences.Asaconsequence,thesevolumescoverthefieldsof
Mathematical andComputationalMethodsandModellingandtheirapplicationsto
major areas such as Fluid Dynamics, Structural Mechanics, Semiconductor
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More information about this series at http://www.springer.com/series/6899
é é á
Esther Andr s-P rez Leo M. Gonz lez
(cid:129)
Jacques Periaux Nicolas Gauger
(cid:129)
Domenico Quagliarella Kyriakos Giannakoglou
(cid:129)
Editors
Evolutionary
and Deterministic Methods
for Design Optimization
and Control With
Applications to Industrial
and Societal Problems
123
Editors
EstherAndrés-Pérez NicolasGauger
ISDEFE Chairfor ScientificComputing
Madrid Technische UniversitätKaiserslautern
Spain Kaiserslautern, Rheinland-Pfalz
Germany
LeoM. González
Fluid MechanicsandPropulsion Domenico Quagliarella
Department Department ofFluid Mechanics
Universidad PolitécnicadeMadrid Italian Aerospace Research Center
Madrid Capua
Spain Italy
JacquesPeriaux Kyriakos Giannakoglou
International Centerfor Numerical Schoolof MechanicalEngineering
Methodsin Engineering (CIMNE) National Technical University of Athens
Barcelona Athens
Spain Greece
ISSN 1871-3033
Computational Methods inApplied Sciences
ISBN978-3-319-89889-6 ISBN978-3-319-89890-2 (eBook)
https://doi.org/10.1007/978-3-319-89890-2
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Preface
The12theditionoftheInternationalConferenceonEvolutionaryandDeterministic
Methods for Design, Optimization and Control with Applications to Industrial and
Societal Problems (EUROGEN 2017) was held from 13th to 15th of September
2017attheSchoolofNavalEngineering,jointlyorganizedbytheSpanishNational
Institute for Aerospace Technology (INTA), the Technical University of Madrid
(UPM) and ISDEFE in association with ECCOMAS and ERCOFTAC. A detailed
information of the event, belonging to the series of ECCOMAS Thematic
Conferences can be found on the website http://eurogen2017.etsiae.upm.es/.
This event gathered experts from Universities, Research Institutions and
Industriesdevelopingorapplyingevolutionaryanddeterministicmethodsindesign
optimization with emphasis on industrial and societal applications.
EUROGEN 2017 focused particularly on:
(cid:129) Metaheuristics and Evolutionary Algorithms (including Evolutionary
Programming, Evolution Strategies, Genetic Algorithms, Memetic Algorithms,
Artificial Immune Systems, etc.)
(cid:129) Multi-objective Evolutionary Algorithms and Constraint Handling Techniques
(cid:129) Adjoint-Based and One-Shot Methods
(cid:129) Hybrid Optimization Methods (Gradient-Based Methods, Combinatorial
Optimization Methods, etc.)
(cid:129) High-Performance Computing and GPUs-Based Optimization Algorithms
(cid:129) Goal-Oriented Optimization for Mesh and Meshless Methods
(cid:129) Game Strategies
(cid:129) Surrogate Models for Optimization
(cid:129) Parallel and Distributed Evolutionary Algorithms (from LANs to GRID)
(cid:129) Multi-disciplinary Optimization Methods
(cid:129) Design Optimization Under Uncertainties
(cid:129) Multi-criteria Decision-Making
(cid:129) Topology Optimization
v
vi Preface
Some statistics of EUROGEN 2017 Conference:
– 121totalattendants(99registered)from16differentcountriesaroundtheworld,
including:
(cid:129) Six (6) plenary invited speakers:
– Prof. Juan Jose Alonso (Stanford University, USA): ‘Supersonic
Low-Boom Aircraft Design Using the Open-Source SU2 Framework’.
– Prof. Sancho Salcedo (University of Alcala, Spain) ‘Machine Learning
algorithms for prediction problems in energy applications’.
– Dr. Adel Abbas (Ex-Airbus Head of Aerodynamics research and tech-
nology, Spain) ‘Aircraft Design Optimization An integrated and mul-
tidisciplinary design chain’.
– Prof. Joaquim Martins (Univ. Michigan, USA) ‘Practical wing design
via numerical optimization—Are we there yet?’.
– Prof. Shigeru Obayashi (Tohoku University, Japan) ‘Multi-Objective
Design Exploration - Fusion of Optimization and Data Mining’.
– Prof. Johan Meyers (KU Leuven, Belgium) ‘Adjoint-based optimization
of wind-farm control in large-eddy simulations’.
(cid:129) Ten (10) Mini Symposia:
– “Multi-disciplinary design optimization’. Organized by A. Riccardi,
E. Minisci and M. Vasile (University of Strathclyde).
– ‘Surrogate-assisted Optimization of Real World problems’. Organized
by D. González (AIRBUS) and E. Iuliano (CIRA).
– ‘Adjoint Methods for Optimisation, Mesh Adaptation and Uncertainty
Quantification’. Organized by J. Mueller (Queen Mary University),
K. Giannakoglou (NTUA), T. Verstraete (VKI).
– ‘ExtensionoffixedpointPDEsolversforoptimaldesign-Methodsand
Applications’.OrganizedbyN.GaugerandL.Kusch(TUKaiserlautern).
– ‘Optimum design applications in structural and civil engineering’.
Organized by D. Greiner (ULPGC), J. Magalhaes-Mendes (Politécnico
do Porto) and J. Periaux (CIMNE).
– ‘Sensitivity and adjoint methods for optimization in flow stability
problems’. Organized by E. Valero, A. Martinez-Cava and A. Rueda
(UPM)
– ‘Optimizationunderuncertainty’.OrganizedbyD.Quagliarella(CIRA)
and M. Vasile (University of Strathclyde).
– ‘Applications of optimization in engineering design automation’.
Organized by D. Ertner and T. Prante (V-Research), M. Affenzeller
(University of AppliedScience Upper Austria), J. Johansson (Jönköping
University) and W. J. C. Verhagen (Delft University of Technology).
– ‘Strategic interaction: theoretical and computational questions of
Optimization and Game Theory’. Organized by C. de Nicola and
L. Mallozi (University of Naples Federico II)
Preface vii
– ‘Miscellaneus of applications of Evolutionary Algorithms in Energy
and Fall prediction’. Organized by A. Brunete, M. Hernando and
E. Gambao (UPM) and Diego Oliva (Tecnológico de Monterrey)
(cid:129) One (1) Special Technological Session (STS) on ‘Advanced Design
Optimization and Control Challenges of new aircraft/engines configura-
tions for future subsonic, transonic and supersonic transportation’.
Organized by J. Periaux (CIMNE) and D. Redondo (Airbus).
(cid:129) Registered attendants by nationalities (not including plenary speakers and
local organizing committee members): 13 Spain, 17 Germany, 10 Italy,
18 United Kingdom, 8 France, 4 Japan, 8 Belgium, 7 Austria, 3 Greece,
2 Portugal, 1 Iran, 1 Mexico, 1 Brazil, 2 Sweden, 1 Czech Republic and
2 USA.
Among the 92 presentations of the EUROGEN 2017 conference, 35 extended
papers were selected for publication in this volume after peer-review by members
of the European Scientific Programme Committee.
The Scientific Organizing Committee and the Local Organizing Committee
acknowledge the sponsorship of the following organizations through financial
support or/and assistance during the development of the event: Research projects
E-CAERO and SSEID, Center for Computational Simulation, AIRBUS, ANSYS,
NUMECA, ESTECO and Fundación Marqués de Suances.
Finally, the two Committees above are grateful to all the members of the
European Scientific Committee, the European Technical Committee and the
International Corresponding members.
Madrid, Spain Esther Andrés-Pérez
Madrid, Spain Leo M. González
Barcelona, Spain Jacques Periaux
Kaiserslautern, Germany Nicolas Gauger
Capua, Italy Domenico Quagliarella
Athens, Greece Kyriakos Giannakoglou
Contents
Part I Adjoint Methods for Optimisation, Mesh Adaptation
and Uncertainty Quantification
GradientProjection,ConstraintsandSurfaceRegularizationMethods
in Adjoint Shape Optimization. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Pavlos P. Alexias and Eugene de Villiers
Adjoint Shape Optimisation Using Model Boundary
Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Marios Damigos and Eugene de Villiers
CAD and Adjoint Based Multipoint Optimization of an Axial
Turbine Profile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Ismael Sanchez Torreguitart, Tom Verstraete and Lasse Mueller
A Comparative Study of Two Different CAD-Based Mesh
Deformation Methods for Structural Shape Optimization . . . . . . . . . . 47
Marc Schwalbach, Tom Verstraete, Jens-Dominik Müller
and Nicolas Gauger
Node-Based Adjoint Surface Optimization of U-Bend Duct
for Pressure Loss Reduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
G. Alessi, L. Koloszar, Tom Verstraete and J. P. A. J. van Beeck
On the Properties of Solutions of the 2D Adjoint Euler
Equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77
Carlos Lozano
Finite Transformation Rigid Motion Mesh Morpher . . . . . . . . . . . . . . 93
Athanasios G. Liatsikouras, Guillaume Pierrot, Gabriel Fougeron
and George S. Eleftheriou
The Unsteady Continuous Adjoint Method Assisted by the Proper
Generalized Decomposition Method . . . . . . . . . . . . . . . . . . . . . . . . . . . 109
V. S. Papageorgiou, K. D. Samouchos and Kyriakos Giannakoglou
ix
x Contents
A Two–Step Mesh Adaptation Tool Based on RBF with
Application to Turbomachinery Optimization Loops . . . . . . . . . . . . . . 127
Flavio Gagliardi, Konstantinos T. Tsiakas
and Kyriakos Giannakoglou
Adjoint-Based Aerodynamic Optimisation of Wing Shape Using
Non-uniform Rational B-Splines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143
Xingchen Zhang, Rejish Jesudasan and Jens-Dominik Müller
Part II Surrogate-Assisted Optimization of Real World Problems
A Comparative Evaluation of Surrogate Models for Transonic
Wing Shape Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161
Emiliano Iuliano
Study of the Influence of the Initial a Priori Training Dataset
Size in the Efficiency and Convergence of Surrogate-Based
Evolutionary Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181
Daniel González-Juarez and Esther Andrés-Pérez
Garteur AD/AG-52: Surrogate-Based Global Optimization
Methods in Preliminary Aerodynamic Design . . . . . . . . . . . . . . . . . . . 195
Esther Andrés-Pérez, Daniel González-Juarez, Mario Martin,
Emilano Iuliano, Davide Cinquegrana, Gerald Carrier, Jacques Peter,
Didier Bailly, Olivier Amoignon, Petr Dvorak, David Funes,
Per Weinerfelt, Leopoldo Carro, Sancho Salcedo, Yaochu Jin,
John Doherty and Handing Wang
A Response Surface Based Strategy for Accelerated Compressor
Map Computation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211
Dmitrij Ivanov, Dieter Bestle and Christian Janke
Surrogate-Based Shape Optimization of the ERCOFTAC
Centrifugal Pump Impeller. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227
Remo De Donno, Stefano Rebay and Antonio Ghidoni
CFD Based Design Optimization of a Cabinet Nitrogen
Generator. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247
Bárbara Arizmendi Gutiérrez, Edmondo Minisci and Greig Chisholm
Delaunay-Based Global Optimization in Nonconvex Domains
Defined by Hidden Constraints . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261
Shahrouz Ryan Alimo, Pooriya Beyhaghi and Thomas R. Bewley
