Stéphane Nachar
20
Documents
Publications
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Data-Driven Model to Predict Aircraft Vibration EnvironmentAIAA Journal, 2023, 61 (10), pp.4610-4622. ⟨10.2514/1.J062735⟩
Journal articles
hal-04185185v1
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A Study on the LATIN-PGD Method: Analysis of Some Variants in the Light of the Latest DevelopmentsArchives of Computational Methods in Engineering, 2021, 28 (5), pp.3457-3473. ⟨10.1007/s11831-020-09514-1⟩
Journal articles
hal-03013258v1
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Multi-fidelity bayesian optimization using model-order reduction for viscoplastic structuresFinite Elements in Analysis and Design, 2020, 176, pp.103400. ⟨10.1016/j.finel.2020.103400⟩
Journal articles
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Coupling multi-fidelity kriging and model-order reduction for the construction of virtual chartsComputational Mechanics, 2019, 64 (6), pp.1685-1697. ⟨10.1007/s00466-019-01745-9⟩
Journal articles
hal-02169052v1
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Data-Driven Prediction of Aircraft Vibration Environment During Unsteady Flight Dynamics1st Annual Aerospace Structures, Structural Dynamics, and Materials Conference (SSDM), ASME, Jun 2023, San Diego (California), United States
Conference papers
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Aircraft Numerical "Twin": A Time Series Regression CompetitionICMLA 2021 - 20th IEEE International Conference on Machine Learning and Applications., Dec 2021, Pasadena / Virtual, United States. ⟨10.1109/ICMLA52953.2021.00075⟩
Conference papers
hal-03463307v3
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Elasto-viscoplastic Structure Optimisation by Coupling of Metamodeling and Model Reduction ToolsRCM 2019 - Research Challenges in Mechanics, Mar 2019, Hannover, Germany
Conference papers
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Optimisation de structures viscoplastiques par couplage entre métamodèle multi-fidélité et modèles réduitsCSMA 2019 - 14ème colloque national en calcul de structures, May 2019, Giens, France
Conference papers
hal-02149629v1
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Multi-fidelity metamodeling using reduced order modelsMORTech 2019 - 5th international Workshop on Reduced Basis, POD and PGD Model Reduction Techniques, Nov 2019, Paris, France
Conference papers
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Modèles de substitution multifidélité en calcul de structuresConférence Régionale NAFEMS France 2018, Nov 2018, PARIS, France
Conference papers
hal-01937099v1
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Accelerate structural optimization with LATIN-PGD and KrigingIRTG 1627 ViVaCE Workshop, Apr 2018, Roscoff, France
Conference papers
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A Kriging-PGD Algorithm to Couple Enriched Multifidelity Metamodels and Reduced-order Model to Handle Multiparametric Problem13th World Congress on Computational Mechanics (WCCM XIII), WCCM, Jul 2018, New York, United States
Conference papers
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Optimisation de structures par couplage métamodèles multi-fidélité et modèles réduits23ème Congrès Français de Mécanique [CFM2017], Aug 2017, Lille, France
Conference papers
hal-01672813v1
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Optimisation de structures par couplage métamodèles multi-fidélité et modèles réduitsCFM 2017 - 23ème Congrès Français de Mécanique, Aug 2017, Lille, France
Conference papers
hal-03465652v1
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Structure optimization based on adaptative metamodels and reduced modelsIRTG 1627 ViVaCE Workshop, Mar 2017, Cachan, France
Conference papers
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An overview of aircraft vibration environment prediction using machine learningComputational Challenges and Emerging Tools Workshop, Apr 2023, Cambridge, United Kingdom
Conference poster
hal-04185152v1
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Aperçu de la prédiction de l'ambiance vibratoire dans un avion par apprentissage automatique12ème Journées des Jeunes Chercheurs en Acoustique vibrations et Bruit, JJCAB 2022, Nov 2022, Lyon, France
Conference poster
hal-04185164v1
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Multi-fidelity Metamodels Nourished by Reduced Order ModelsPeter Wriggers; Olivier Allix; Christian Weißenfels. Virtual Design and Validation, 93, Springer International Publishing, 2020, Lecture Notes in Applied and Computational Mechanics, 978-3-030-38155-4. ⟨10.1007/978-3-030-38156-1⟩
Book sections
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Multi-fidelity bayesian optimization using model-order reduction for viscoplastic structures2019
Preprints, Working Papers, ...
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Optimisation de structures viscoplastiques par couplage entre métamodèle multi-fidélité et modèles réduitsMécanique des solides [physics.class-ph]. Université Paris Saclay (COmUE), 2019. Français. ⟨NNT : 2019SACLN051⟩
Theses
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