Nathalie Bartoli

Senior Researcher at ONERA, HDR

Habilitation degree (academic accreditation to supervise research, HDR Applied Mathematics)

Information Processing and Systems department - Multidisciplinary Methods and Integrated Concepts Unit

Professor at ISAE-SUPAERO (recognized as a full professor in PhD committees)

ONERA  DTIS/M2CI
2 avenue Édouard Belin 
31055 Toulouse France
E-mail : nathalie.bartoli@onera.fr

Research topics

Recent activities

Teaching activities

Lectures, assignments, tutorials, practical sessions, projects

  • Linear and Non-Linear Optimization 

  • Multidisciplinary Optimization (Notebooks with OpenMDAO)

  • Surrogate models (Notebooks with Sklearn and SMT)

Internal & EUROSAE training on Machine Learning (Gaussian process, Bayesian optimization, ...)

 

Supervising PhD activities

  • M. Menz (UPS & ONERA) Réduction du coût numérique des méthodes d'apprentissage actif pour l'analyse de fiabilité, december 2020, pdf
  • R. Priem (ONERA & ISAE-SUPAERO) High Dimensional Constrained Bayesian Optimization Applied to Aircraft Design, november 2020, pdf
  • A. Sgueglia  (ISAE-SUPAERO & ONERA ) Exploration of sizing and optimization priorities in Aircraft Design with application to a Blended Wing Body with Distributed Electric Propulsion, december 2019, pdf
  • J. Mas Colomer (ONERA & ISAE-SUPAERO) Aeroelastic Similarity of a Flight Demonstrator via Multidisciplinary Optimization,  december 2018, pdf
  • P. Schmollgruber (ONERA) Enhancement of the aircraft design process through certification constraints management and full mission simulations, december 2018, pdf
  • M. Gruet (ONERA & CNES) Intelligence Artificielle et prévision de l’impact de l’activité solaire sur l’environnement magnétique terrestre, september 2018, pdf
  • M-A. Bouhlel (ONERA & ISAE-SUPAERO & SNECMA), Self-adaptive optimization of multidisciplinary analysis environment via Kriging models combined with the PLS method, janvier 2016, pdf
  • D. Bettebghor (ONERA & ISAE-SUPAERO & AIRBUS), Bilevel optimization of large scale composite structures, december 2011, pdf
  • J. Clément (ONERA) Multidisciplinary optimisation: theory and application to conceptual aircraft design 2009, pdf

Bio ORCID ID: 0000-0002-6451-2203 

  • Dec 2019: Habilitation degree (HDR) in Applied Mathematics, Optimization based on surrogate models

  • 2018- : Senior researcher at ONERA/DTIS/M2CI, Toulouse (Multidisciplinary Methods and Integrated Concepts Unit)

  • 2015-2018: Research Engineer at IRT (Institute of Technology), project MDA-MDO (Multi-Disciplinary Analysis- Multi-Disciplinary Optimization), part-time activities (20% seconded) with AIRBUS team

  • 2013-2017: Research engineer at ONERA/DTIM/SAE, Toulouse (Aeronautical Systems Unit)

  • 2005-2012: Research engineer at ONERA/DTIM/M2SN, Toulouse (Mathematical, Statistical and Numerical Modeling Unit)

  • 2003-2004: Senior Researcher at CERFACS (European Center for Research and Advanced Training in Scientific Computation -Toulouse), Electromagnetism team

  • 2002: Postdoctoral Research Fellow at INRIA Sophia-Antipolis (French National Institute for
    Research in Computer Science and Control) with Alcatel Space (Cannes)

  • 2000-2001: Junior Researcher at CERFACS (European Center for Research and Advanced Training in Scientific Computation -Toulouse), Electromagnetism team

  • 1997-2000: Ph. D. Degree in Applied Mathematics supervised by Abderrahmane Bendali (INSA Toulouse - Université de Toulouse) 

  • 1997: Master Degree (DEA) at CERT-ONERA (Toulouse), Electromagnetism team

  • 1992-1997: Engineer Degree in Applied Mathematics from the National Institute of Applied
    Sciences of Toulouse (INSA), France

Patent

Method for design mechanical parts, in particular turmachine bladesA.Otsmane, M.-A. Bouhlel, N. Bartoli  and J. Morlier, 2017, Brevet FR.15.57301 - cas 2625
 

Book Chapter

Publications (List available here)

  • V. Drouet, Y. Préveraud, J.-M. Moschetta, N. Bartoli, S. Dubreuil, J. Annaloro (2021). Reduced order models for heat flux and pressure distributions on space debris afterbodies, Acta Astronautica, doi

  • M. Zheng, N. Bartoli, A. Jungo, W. Lammen, E. Baalbergen, M. Voskuijl (2020). Enhancing the handling qualities analysis by collaborative aerodynamics surrogate modelling and aero-data fusion, Progress in Aerospace Sciences, doi

  • T. Lefebvre, N.Bartoli, S. Dubreuil, M. Panzeri, R. Lombardi, P. Della Vecchia, L. Stingo, F. Nicolosi, A. de Marco, P.D. Ciampa, K. Anisimov, A. Savelyev, A. Mirzoyan, A. Isyanov (2020).  Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design, Progress in Aerospace Sciencesdoi

  • S. Dubreuil, N. Bartoli, C. Gogu, T. Lefebvre (2020). Towards an efficient global multidisciplinary design optimization
    algorithm
    Structural and Multidisciplinary Optimization, doi

  • R. Priem, N. Bartoli, Y. Diouane, A. Sgueglia (2020), Upper trust bound feasibility criterion for mixed constrained Bayesian optimization with application to aircraft design, Aerospace Science and Technology,  doi

  • A. Sgueglia, P. Schmollgruber, N. Bartoli, E. Benard, J. Morlier, J. Jasa, J. R.R.A. Martins, J. T. Hwang, J. S. Gray (2020). Multidisciplinary Design Optimization Framework with Coupled Derivative Computation for Hybrid Aircraft. Journal of Aircraft, doi 

  • M. Menz, C. Gogu, S. Dubreuil, N. Bartoli, J. Morio (2020). Adaptive coupling of reduced basis modeling and Kriging based active learning methods for reliability analyses. Reliability Engineering & System Safety, 196, 106771.doi

  • M. G. Fernandez-Godino, S. Dubreuil, N. Bartoli, C. Gogu,·S. Balachandar,·R. T. Haftka, Linear regression-based multifidelity surrogate for disturbance amplification in multiphase explosion, Structural and Multidisciplinary Optimization, link
  • N. Bartoli, T. Lefebvre, S. Dubreuil, R. Olivanti, R. Priem, N. Bons, J .R.R.A Martins, J. Morlier (2019), Adaptive modeling strategy for constrained global optimization with application to aerodynamic wing design, Aerospace Science and Technology Journal, vol. 90, p. 85-102doi
  • M.-A. Bouhlel, J. T. Hwang, N. Bartoli, R. Lafage, J. Morlier, J .R.R.A Martins (2019), A Python surrogate modeling framework with derivatives, Advances in Engineering Software, doi
  • S. Dubreuil, N. Bartoli, C. Gogu, T. Lefebvre, J. Mas Colomer (2018). Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion-Kriging approach. Computer Methods in Applied Mechanics and Engineering, 2018, Link
  • M.-A. Bouhlel, N. Bartoli, R. Regis, A. Otsmane and J. Morlier, Efficient Global Optimization for high-dimensional constrained problems by using the kriging models combined with the Partial Least Squares method,  Engineering optimization, 2017,  doi
  • S. Dubreuil, N. Bartoli, C. Gogu and T. Lefebvre, Propagation of modeling uncertainty by polynomial chaos expansion in multidisciplinary analysis, ASME. J. Mech. Des., doi
  • M.-A. Bouhlel, N. Bartoli, A. Otsmane and J. Morlier, An Improved Approach for Estimating the Hyperparameters of the Kriging Model for High-Dimensional Problems through the Partial Least Squares Method, Mathematical Problems in Engineering, Volume 2016 (2016), Article ID 6723410, 11 pages
  • M.-A. Bouhlel, N. Bartoli, A. Otsmane and J. Morlier, Improving kriging surrogates of high-dimensional design models by Partial Least Squares dimension reduction, Structural and Multidisciplinary Optimization, vol 53, no5, pp 935-952, 2016, Link
  • D. Bettebghor and N. Bartoli. Approximation of the critical buckling factor for composite panels, Structural and Multidisciplinary Optimization, vol 46, no4, pp 561-584, 2012, Link
  • D. Bettebghor, N. Bartoli, S. Grihon, J. Morlier and M. Samuelides. Surrogate modeling approximation using a mixture of experts based on EM joint estimation, Structural and Multidisciplinary Optimization, vol 43, no2, pp 243-259, 2011
, Link
  • N. Bartoli, F. Collino, F. Dodu and T. Koleck. A far-near field Transformation using the Fast Multipole Techniques, IEEE Transactions on Antennas and Propagation, vol 52, no12, pp 3329-3336, Décembre 2004.
  • N. Bartoli and A. Bendali. Robust and High-Order Effective Boundary Conditions for Perfectly Conducting Scatterers Coated by a thin Dielectric Layer, IMA Journal of Applied Mathematics, vol 67, no5, pp 479-508, Octobre 2002.
  • N. Bartoli and F. Collino. Integral equations via Saddle Point Problems for Acoustic Problems, Mathematical Modelling and Numerical Analysis, vol 34, no5, pp 1023-1049, Sept/Oct 2000

Recent conferences with proceedings

2022

  • G. Donelli, P. D. Ciampa, T. Lefebvre, N. Bartoli, J. M. Mello, F. I. Odaguil, T. van der Laan (2022). Value-driven Model-Based Optimization coupling Design-Manufacturing-Supply Chain in the Early Stages of Aircraft Development: Strategy and Preliminary Results. In AIAA AVIATION 2022 Forum (p. 3723). doi
  • R. Grapin, Y. Diouane, J. Morlier, N. Bartoli, T. Lefebvre, P. Saves, J. H. Bussemaker (2022). Constrained Multi-Objective Bayesian Optimization with Application to Aircraft Design. In AIAA AVIATION 2022 Forum (p. 4053). doi
  • P. Saves, Y. Diouane, N. Bartoli, T. Lefebvre, J. Morlier, J. (2022). A general square exponential kernel to handle mixed-categorical variables for Gaussian process. In AIAA AVIATION 2022 Forum (p. 3870) doi
  • P. Saves, N. Bartoli, Y. Diouane, T. Lefebvre, J. Morlier, C. David, S. Defoort (2022). Multidisciplinary design optimization with mixed categorical variables for aircraft design. In AIAA SCITECH 2022 Forum (p. 0082).

2021

  • C. Garcia-Rubio, K. Thanissaranon, J. C.  Chaudemar, N. Bartoli, T. Lefebvre (2021, July). Global model of Aircraft design: from performance requirements towards architectures optimization. In Proceedings of the International Conference on Multidisciplinary Design Optimization of Aerospace Systems (AEROBEST 2021) (pp. 1-758).

  • R. C. Arenzana, A. López-Lopera, S. Mouton, N.  Bartoli, T. Lefebvre (2021, July). Multifidelity Gaussian Process model for CFD and Wind Tunnel data fusion. In Proceedings of the International Conference on Multidisciplinary Design Optimization of Aerospace Systems (AEROBEST 2021) (pp. 1-758).

  • P. Saves, N. Bartoli, Y. Diouane, T. Lefebvre, J. Morlier, C. David, S. Defoort (2021, July). Constrained bayesian optimization over mixed categorical variables, with application to aircraft design. In Proceedings of the International Conference on Multidisciplinary Design Optimization of Aerospace Systems (AEROBEST 2021) (pp. 1-758).

  • J. Bussemaker, N. Bartoli, T. Lefebvre, P. D.  Ciampa, B. Nagel (2021). Effectiveness of Surrogate-Based Optimization Algorithms for System Architecture Optimization. In AIAA AVIATION 2021 FORUM (p. 3095), doi.

  • M. Saporito, A. Da Ronch, N. Bartoli, S.  Defoort (2021). Flying qualities reliability constraints in aircraft conceptual design using time-marching simulations. In AIAA AVIATION 2021 FORUM (p. 3101), doi

  • V. Palladino, A. Jordan, N. Bartoli, P. Schmollgruber, V. Pommier-Budinger, and E. Benard (2021). Preliminary studies of a regional aircraft with hydrogen-based hybrid propulsion. In AIAA AVIATION 2021 FORUM (p. 2411) doi

  • S. Delbecq, M. Budinger, C. Coic and N. Bartoli (2021) Trajectory and design optimization of multirotor drones with system simulation, AIAA Scitech 2021 Forum (p. 0211), doi

 

2020

  •  R. Priem, H. Gagnon, I. Chittick, S. Dufresne, Y. Diouane, and N. Bartoli (2020). An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design. In AIAA AVIATION 2020 FORUM (p. 3152).

  • N. Peteilh, T. Klein, T. Y. Druot, N. Bartoli, and R. P. Liem (2020). Challenging Top Level Aircraft Requirements based on operations analysis and data-driven models, application to takeoff performance design requirements. In AIAA AVIATION 2020 FORUM (p. 3171).

  • M. Saporito, A. D. Ronch, P. Schmollgruber and N. Bartoli, Framework development for robust design of novel aircraft concepts, In 1st Edition of the Aerospace Europe Conference – AEC2020, Bordeaux, France (2020)
  • V. Palladino, A. Jordan, V. Budinger, E. Benard, N. Bartoli, S. Defoort and P. Schmollgruber, A Comparative Study of High and Low Fidelity Propulsion Models for Hybrid Electric Aircraft, In 1st Edition of the Aerospace Europe Conference – AEC2020, Bordeaux, France (2020).

2019

  • A. Sgueglia, P. Schmollgruber, E. Benard, N. Bartoli, J. Morlier, Exploration of a Blended Wing-Body concept featuring distributed electric propulsion with gradient optimization techniques, 9th EASN Conference on Innovation in Aviation & Space, September 2019, Greece
  • R. Priem, N. Bartoli, Y. Diouane, On the Use of Upper Trust Bounds in Constrained Bayesian Optimization Infill Criteria, 20th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, June 2019, Dallas, United States, doi
  • M. Meliani, N. Bartoli, T. Lefebvre, M.-A. Bouhlel, J. R.R.A Martins, J. Morlier, Multi-fidelity efficient global optimization: Methodology and application to airfoil shape design, 20th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, June 2019, Dallas, United States, doi
  • B. Dabas, N. Bartoli, T. Lefebvre, F. Gallard, A. Gazaix, T. Y. Druot, D. Guénot, Error-Based Adaptive Coupling Process Between Multipoint High-Fidelity Aerodynamics and Mission Performance for Shape Optimization in the MDA-MDO Project, 20th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, June 2019, Dallas, United States, doi
  • P. D. Ciampa, P. S. Prakasha, F. Torrigiani, J.-N.. Walther, T Lefebvre, N. Bartoli, H. Timmermans, P. Della Vecchia, L. Stingo, D. Rajpal, I. van Gent, G. La Rocca, M. Fioriti, G. Cerino, R. Maierl, D. Charbonnier, A. Jungo, B. Aigner, K. Anisimov, A. Mirzoyan, M. Voskuijl, Streamlining Cross-Organizational Aircraft Development: Results from the AGILE Project, 20th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, June 2019, Dallas, United States,doi
  • M. Menz, C.. Gogu, S. Dubreuil, N. Bartoli, J. Morio, Towards reliability analysis by adaptive sampling with multiple fidelity levels by the use of reduced basis methods, UNCECOMP, 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, June, Crete, Greece, 2019, hal

2018

  • R. Priem, N. Bartoli, Y. Diouane, S. Dubreuil and T. Lefebvre, An adaptive feasibility approach for constrained bayesian optimization with application in aircraft design, EngOpt 2018, 6th International Conference on Engineering Optimization, Lisbon, September 2018
  • J. Mas Colomer, N. Bartoli, T. Lefebvre and J Morlier, Static Aeroelastic Scaling with Non-Similar Flow through Multidisciplinary Optimization, EngOpt 2018, 6th International Conference on Engineering Optimization, Lisbon, September 2018
  • A. Sgueglia, P. Schmollgruber, E. Benard, N. Bartoli and J. Morlier, Preliminary Sizing of a Medium Range Blended Wing-Body using a Multidisciplinary Design Analysis Approach, 8th EASN-CEAS International Workshop on Manufacturing for Growth & Innovation, September 2018, Glasgow, United Kingdom
  • N. Bartoli, T. Lefebvre, S. Dubreuil, M. Panzeri, R. Lombardi, R. D’Ippolito, K. Anisomov, A. Savelyev, Robust Nacelle Optimization Design investigated in the AGILE European project, 19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 10.2514/6.2018-3250, June 2018, Atlanta, United States, doi
  • S. Dubreuil, N. Bartoli, T. Lefebvre and C. Gogu, Efficient global multidisciplinary optimization based on surrogate models, 19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 10.2514/6.2018-3745, June 2018, Atlanta, United States, doi
  • T. Lefebvre, N. Bartoli, S. Dubreuil, M. Panzeri, R. Lombardi, W. Lammen, M. Zhang, I. van Gent and P. D. Ciampa, A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project , 19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference10.2514/6.2018-3252, June 2018, Atlanta, United States, doi
  • P. Schmollgruber, N. Bartoli, J. Bedouet, E. Benard, and Y. Gourinat. Improvement of the Aircraft Design process for Air Traffic Management evaluations, 2018 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, (AIAA 2018-0283), doi
  • A. Sgueglia, P. Schmollgruber, N. Bartoli, O. Atinault, E. Benard, and J. Morlier. Exploration and Sizing of a Large Passenger Aircraft with Distributed Ducted Electric Fans, 2018 AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, (AIAA 2018-1745), doi 
  • M G. Fernandez-Godino, R. T. Haftka, S. Balachandar, C. Gogu, N. Bartoli, and S. Dubreuil. Noise Filtering and Uncertainty Quantification in Surrogate based Optimization, 2018 AIAA Non-Deterministic Approaches Conference, AIAA SciTech Forum, (AIAA 2018-2176), doi

2017

  • T. Lefebvre, N. Bartoli, S. Dubreuil, M. Panzeri, R. Lombardi, R. D'Ippolito, P. Della Vecchia, F. Nicolosi, and P. D. Ciampa. Methodological enhancements in MDO process investigated in the AGILE European project, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum, (AIAA 2017-4140), doi
  • N. Bartoli, T. Lefebvre, S. Dubreuil, R. Olivanti, N. Bons, J.R.R.A. Martins, M.-A. Bouhlel, and J. Morlier. An adaptive optimization strategy based on mixture of experts for wing aerodynamic design optimization, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum, (AIAA 2017-4433), doi 
  • P. Schmollgruber, N. Bartoli, J. Bedouet, S. Defoort, Y. Gourinat, E. Benard, R. Lafage, and A. Sgueglia. Use of a Certification Constraints Module for Aircraft Design Activities, 17th AIAA Aviation Technology, Integration, and Operations Conference, AIAA AVIATION Forum, (AIAA 2017-3762), doi
  • A. Gazaix, F. Gallard, V. Gachelin, T. Druot, S. Grihon, V. Ambert, D. Guénot, R. Lafage, C. Vanaret, B. Pauwels, N. Bartoli, T. Lefebvre, P. Sarouille, N. Desfachelles, J. Brézillon, M. Hamadi, and S. Gurol. Towards the Industrialization of New MDO Methodologies and Tools for Aircraft Design, 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum, (AIAA 2017-3149), doi 
  • J. Mas Colomer, N. Bartoli, T. Lefebvre, S. Dubreuil, J.R.R.A. Martins, E. Bénard, and J. Morlier. Similarity Maximization of a Scaled Aeroelastic Flight Demonstrator via Multidisciplinary Optimization, 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech Forum, (AIAA 2017-0573), doi

2016

  • N. Bartoli, M.-A.Bouhlel, I. Kurek, R. Lafage, T. Lefebvre, J. Morlier, R. Priem, V. Stilz, and . Regis. Improvement of efficient global optimization with application to aircraft wing design, 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum, (AIAA 2016-4001), doi

2015

  • P. Schmollgruber, N. Bartoli, and Y. Gourinat. Virtual flight testing in an aircraft sizing and optimization process, 15th AIAA Aviation Technology, Integration, and Operations Conference, AIAA AVIATION Forum, (AIAA 2015-2546), doi