2021
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Vankan, W J; Lammen, W F; Baalbergen, E H Multidisciplinary Modelling, Analysis and Optimization for Aircraft and System Level Design and Validation Conference ECCOMAS 14th World Congress in Computational Mechanics , Virtual, 2021. Links | BibTeX @conference{ Vankan2021_106 ,
title = {Multidisciplinary Modelling, Analysis and Optimization for Aircraft and System Level Design and Validation},
author = {W.J. Vankan and W.F. Lammen and E.H. Baalbergen},
url = {https://zenodo.org/record/4607373},
doi = {10.5281/zenodo.4607373},
year = {2021},
date = {2021-01-01},
address = {Virtual},
organization = {ECCOMAS 14th World Congress in Computational Mechanics ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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2020
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Jungo, A; Riolo, V; Vos, J B Using surrogate models to speed up the creation of aerodynamic databases in CEASIOMpy Conference READ 2020 , Virtual, 2020. Links | BibTeX @conference{ Jungo2020_85 ,
title = {Using surrogate models to speed up the creation of aerodynamic databases in CEASIOMpy},
author = {A. Jungo and V. Riolo and J.B. Vos},
url = {https://zenodo.org/record/4632819},
doi = {10.5281/zenodo.4632819},
year = {2020},
date = {2020-10-01},
address = {Virtual},
organization = {READ 2020 ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Wang, Z; Peters, D; De Breuker, R Aeroelastic optimization of manufacturable tow-steered composite wings with cruise shape constraint and gust loads Conference EASN , Virtual, 2020. Links | BibTeX @conference{ Wang2020_114 ,
title = {Aeroelastic optimization of manufacturable tow-steered composite wings with cruise shape constraint and gust loads},
author = {Z. Wang and D. Peters and R. {De Breuker}},
url = {https://zenodo.org/record/4607334},
doi = {10.1088/1757-899X/1024/1/012020},
year = {2020},
date = {2020-09-01},
address = {Virtual},
organization = {EASN ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Dubreuil, S; Bartoli, N; Gogu, C; Lefebvre, T Toward an efficient global multidisciplinary design optimization algorithm Journal Article Structural and Multidisciplinary Optimization, 62 (4), pp. 1739–1765, 2020. Abstract | Links | BibTeX @article{ Dubreuil2020_74 ,
title = {Toward an efficient global multidisciplinary design optimization algorithm},
author = {S. Dubreuil and N. Bartoli and C. Gogu and T. Lefebvre},
url = {https://www.agile4.eu/cloud/index.php/s/ALzG5CnQPXD5HNW},
doi = {10.1007/s00158-020-02514-6},
year = {2020},
date = {2020-08-14},
journal = {Structural and Multidisciplinary Optimization},
volume = {62},
number = {4},
pages = {1739–1765},
publisher = {ASME},
abstract = {This article proposes a new surrogate-based multidisciplinary design optimization algorithm. The main idea is to replace each disciplinary solver involved in a non-linear multidisciplinary analysis by Gaussian process surrogate models. Although very natural, this approach creates difficulties as the non-linearity of the multidisciplinary analysis leads to a non-Gaussian model of the objective function. However, in order to follow the path of classical Bayesian optimization such as the efficient global optimization algorithm, a dedicated model of the non-Gaussian random objective function is proposed. Then, an Expected Improvement criterion is proposed to enrich the disciplinary Gaussian processes in an iterative procedure that we call efficient global multidisciplinary design optimization (EGMDO). Such an adaptive approach allows to focus the computational budget on areas of the design space relevant only with respect to the optimization problem. The obtained reduction of the number of solvers evaluations is illustrated on a classical MDO test case and on an engineering test case.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This article proposes a new surrogate-based multidisciplinary design optimization algorithm. The main idea is to replace each disciplinary solver involved in a non-linear multidisciplinary analysis by Gaussian process surrogate models. Although very natural, this approach creates difficulties as the non-linearity of the multidisciplinary analysis leads to a non-Gaussian model of the objective function. However, in order to follow the path of classical Bayesian optimization such as the efficient global optimization algorithm, a dedicated model of the non-Gaussian random objective function is proposed. Then, an Expected Improvement criterion is proposed to enrich the disciplinary Gaussian processes in an iterative procedure that we call efficient global multidisciplinary design optimization (EGMDO). Such an adaptive approach allows to focus the computational budget on areas of the design space relevant only with respect to the optimization problem. The obtained reduction of the number of solvers evaluations is illustrated on a classical MDO test case and on an engineering test case. |
Risueño, A P; Bussemaker, J H; Ciampa, P D; Nagel, B MDAx: Agile Generation of Collaborative MDAO Workflows for Complex Systems Conference 2020-3133 , AIAA Aviation , Virtual, 2020. Links | BibTeX @conference{ Risueño2020_74 ,
title = {MDAx: Agile Generation of Collaborative MDAO Workflows for Complex Systems},
author = {A.P. Risueño and J.H. Bussemaker and P.D. Ciampa and B. Nagel},
url = {https://zenodo.org/record/4672051},
doi = {10.2514/6.2020-3133},
year = {2020},
date = {2020-06-01},
volume = {2020-3133},
address = {Virtual},
organization = {AIAA Aviation ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Bussemaker, J H; Ciampa, P D; Nagel, B System Architecture Design Space Exploration: An Approach to Modeling and Optimization. Conference 2020-3172 , AIAA Aviation , Virtual, 2020. Links | BibTeX @conference{ Bussemaker2020_88 ,
title = {System Architecture Design Space Exploration: An Approach to Modeling and Optimization.},
author = {J.H. Bussemaker and P.D. Ciampa and B. Nagel},
url = {https://zenodo.org/record/4672182},
doi = {10.2514/6.2020-3172},
year = {2020},
date = {2020-06-01},
volume = {2020-3172},
address = {Virtual},
organization = {AIAA Aviation ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Cabaleiro de la Hoz, C; Bussemaker, J H; Fioriti, M; Boggero, L; Ciampa, P D; Nagel, B Environmental and Flight Control System Architecture Optimization from a Family Concept Design Perspective. Conference 2020-3113 , AIAA Aviation , Virtual, 2020. Links | BibTeX @conference{ Cabaleiro2020_108 ,
title = {Environmental and Flight Control System Architecture Optimization from a Family Concept Design Perspective.},
author = {C. {Cabaleiro de la Hoz} and J.H. Bussemaker and M. Fioriti and L. Boggero and P.D. Ciampa and B. Nagel},
url = {https://zenodo.org/record/4672194},
doi = {10.2514/6.2020-3113},
year = {2020},
date = {2020-06-01},
volume = {2020-3113},
address = {Virtual},
organization = {AIAA Aviation ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Bruno, F; Fioriti, M; Donelli, G; Boggero, L; Ciampa, P D; Nagel, B A Model-Based RAMS Estimation Methodology for Innovative Aircraft on-board Systems supporting MDO Applications Conference 2020-3151 , AIAA Aviation , Virtual, 2020. Links | BibTeX @conference{ Bruno2020_110 ,
title = {A Model-Based RAMS Estimation Methodology for Innovative Aircraft on-board Systems supporting MDO Applications},
author = {F. Bruno and M. Fioriti and G. Donelli and L. Boggero and P.D. Ciampa and B. Nagel},
url = {https://zenodo.org/record/4672198},
doi = {10.2514/6.2020-3151},
year = {2020},
date = {2020-06-01},
volume = {2020-3151},
address = {Virtual},
organization = {AIAA Aviation ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Ciampa, P D; Nagel, B; La Rocca, G A MBSE Approach to MDAO Systems for the Development of Complex Products Conference 2020-3150 , AIAA Aviation , Virtual, 2020. Links | BibTeX @conference{ Ciampa2020_71 ,
title = {A MBSE Approach to MDAO Systems for the Development of Complex Products},
author = {P.D. Ciampa and B. Nagel and G. {La Rocca}},
url = {https://zenodo.org/record/4046434},
doi = {10.2514/6.2020-3150},
year = {2020},
date = {2020-06-01},
volume = {2020-3150},
address = {Virtual},
organization = {AIAA Aviation ,},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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Mandorino, M Automatic Aerostructural Analysis and Aerodynamic Optimization for Collaborative Aircraft Design Process Masters Thesis University of Naples « Federico II », 2020. Links | BibTeX @mastersthesis{ Mandorino2020Thesis ,
title = {Automatic Aerostructural Analysis and Aerodynamic Optimization for Collaborative Aircraft Design Process},
author = {M. Mandorino},
url = {https://zenodo.org/record/4672227},
doi = {10.5281/zenodo.4672227},
year = {2020},
date = {2020-01-01},
school = {University of Naples « Federico II »},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
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Riolo, V Exploration of optimization and machine learning methods in the field of aircraft design Masters Thesis CFS Engineering, 2020. Links | BibTeX @mastersthesis{ Riolo2020Thesis ,
title = {Exploration of optimization and machine learning methods in the field of aircraft design},
author = {V. Riolo},
url = {https://zenodo.org/record/4672244},
doi = {10.5281/zenodo.4672244},
year = {2020},
date = {2020-01-01},
school = {CFS Engineering},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
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Kuntzner, J-P Aero-elastic Tool implemented in a preliminary aircraft design suite Masters Thesis CFS Engineering, 2020. Links | BibTeX @mastersthesis{ Kuntzner2020Thesis ,
title = {Aero-elastic Tool implemented in a preliminary aircraft design suite},
author = {J-P. Kuntzner},
url = {https://zenodo.org/record/4672256},
doi = {10.5281/zenodo.4672256},
year = {2020},
date = {2020-01-01},
school = {CFS Engineering},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
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Cabaleiro de la Hoz, C Environmental Control System and Flight ControlSvystem Architecture Optimization from a Family Concept Design Perspective Masters Thesis Politecnico di Torino/DLR, 2020. Links | BibTeX @mastersthesis{ Cabaleiro2020_121 ,
title = {Environmental Control System and Flight ControlSvystem Architecture Optimization from a Family Concept Design Perspective},
author = {C. {Cabaleiro de la Hoz}},
url = {https://zenodo.org/record/4672264},
doi = {10.5281/zenodo.4672264},
year = {2020},
date = {2020-01-01},
school = {Politecnico di Torino/DLR},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
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Bruno, F A Model-Based RAMS Estimation Methodology for Innovative Aircraft on-board Systems developed in a MDO Environment Masters Thesis Politecnico di Torino/DLR, 2020. Links | BibTeX @mastersthesis{ Bruno2020Thesis ,
title = {A Model-Based RAMS Estimation Methodology for Innovative Aircraft on-board Systems developed in a MDO Environment},
author = {F. Bruno},
url = {https://zenodo.org/record/4672288},
doi = {10.5281/zenodo.4672288},
year = {2020},
date = {2020-01-01},
school = {Politecnico di Torino/DLR},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
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Saves, P On adapting the Super-Efficient Global Optimization solver to handle mixed-variables, with applications in aircraft design Masters Thesis ISAE – Supaero - ONERA, 2020. Links | BibTeX @mastersthesis{ Saves2020Thesis ,
title = {On adapting the Super-Efficient Global Optimization solver to handle mixed-variables, with applications in aircraft design},
author = {P. Saves},
url = {https://zenodo.org/record/4672290},
doi = {10.5281/zenodo.4672290},
year = {2020},
date = {2020-01-01},
school = {ISAE – Supaero - ONERA},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
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