Proceedings Article10.2514/6.2019-3240
Error-Based Adaptive Coupling Process Between Multipoint High-Fidelity Aerodynamics and Mission Performance for Shape Optimization in the MDA-MDO Project
Benoît Dabas,Nathalie Bartoli,Thierry Lefebvre,François Gallard,Anne Gazaix,Thierry Y. Druot,Damien Guénot +6 more
- 17 Jun 2019
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About: The article was published on 17 Jun 2019. The article focuses on the topics: Coupling & Shape optimization.
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Citations
Industrial Application of an Advanced Bi-level MDO Formulation to Aircraft Engine Pylon Optimization
Anne Gazaix,François Gallard,Vincent Ambert,Damien Guénot,Maxime Hamadi,Stéphane Grihon,Patrick Sarouille,Thierry Y. Druot,Joel Brezillon,Vincent Gachelin,Justin Plakoo,Nicolas Desfachelles,Nathalie Bartoli,Thierry Lefebvre,Selime Gürol,Benoit Pauwels,Charlie Vanaret,Rémi Lafage +17 more
- 17 Jun 2019
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TL;DR: The extended design structure matrix (XDSM) is presented, a new diagram for visualizing MDO processes based on extending the standard design structure Matrix to simultaneously show data dependency and process flow on a single diagram.
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A Python surrogate modeling framework with derivatives
Mohamed Amine Bouhlel,John T. Hwang,Nathalie Bartoli,Rémi Lafage,Joseph Morlier,Joaquim R. R. A. Martins +5 more
TL;DR: The surrogate modeling toolbox (SMT) is an open-source Python package that contains a collection of surrogate modeling methods, sampling techniques, and benchmarking functions that provides a library of surrogate models that is simple to use and facilitates the implementation of additional methods.
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