Mathieu Balesdent

Senior Research Scientist (DR2) at ONERA - The French Aerospace Lab, with Habilitation degree

Information processing and system department, Multidisciplinary Methods and Integrated Concepts unit

 

En français

 

Research topics

• Uncertainty quantification
• Multidisciplinary Design Optimization
• Mixed discrete / continuous optimization
• Aerospace vehicle design
• Member of the development team of the open source library openTURNS for the treatment of uncertainties

Bio

• 2022 - Senior Research scientist (Directeur de Recherche) at ONERA - Information processing and system department
• 2021 : Habilitation degree, Title : Contributions to the optimization and uncertainty quantification for the design of aerospace systems
• 2017- : Research engineer at Onera - Information processing and system department
• 2011-2017 : Research engineer at Onera - System design and performance evaluation department
• 2008-2011: PhD degree from the" Ecole Centrale de Nantes", at Onera, Palaiseau, Title: Multidisciplinary Design Optimization of launch vehicles (advisors : Ph. Dépincé and N. Bérend), co-funded by CNES and Onera
• 2007-2008: Master of Science : Automatic control, University of Sciences and Technology of Lille/ "Ecole Centrale de Lille"
• 2005-2008: engineer degree, ISEN Lille

Editorial activities

• Guest editor of the special issue  Aerospace System Analysis and Optimization in Applied Sciences
• Guest editor of the special issue  Aerospace Vehicle Design under Uncertainty  in Applied Sciences
• Guest editor of the special issue New Insights into Multidisciplinary Design Optimization  in Applied Sciences

Teaching

• Since 2023 at INSA Rennes : Machine learning for aerospace system design
• Since 2022 at ISAE-Supaéro : Design of launch vehicles (optimal control)
• Since 2019 at Ecole Polytechnique : Multidisciplinary Design and Optimization with application to space system design
• Since 2018 at Ecole Supérieure d'Ingénieurs Léonard de Vinci : Advanced methods for multidisciplinary analysis and optimization

Links

• Page google scholar
• Page github

 

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Publications and communications  (Google Scholar)

 

Books

L. Brevault, M. Balesdent and J. Morio (2020) Aerospace System Analysis and Optimization in Uncertainty, Springer Nature Switzerland AG, ISBN : 978-3-030-39125-6   Order information : [ Springer] [ Amazon ]

J. Morio and M. Balesdent (2015) Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems, A Practical Approach, Woodhead Publishing, ELSEVIER, ISBN: 978-0-08-100091-5   Order information : [ Elsevier ] [ Amazon ]

Book chapters

• V. Chabridon, M. Balesdent, G. Perrin, J.Morio, J.-M. Bourinet and N. Gayton (2021) Analyse de sensibilité globale ciblée pour la fiabilité en présence d'incertitudes sur les paramètres de distribution, in : Ingénierie mécanique en conexte incertain : des approches classiques à quelques développements récents, ISTE
• V. Chabridon, M. Balesdent, G. Perrin, J.Morio, J.-M. Bourinet and N. Gayton (2021) Global reliability-oriented sensitivity analysis under distribution parameter uncertainty. in : Mechanical Engineering in Uncertainties From Classical Approaches to Some Recent Developments, Wiley & Sons
• J. Pelamatti, L. Brevault, M. Balesdent, E.-G. Talbi and Y. Guérin (2020) Overview and comparison of Gaussian process-based surrogate models for mixed continuous and discrete variables, application to aerospace design problems, in : High-performance simulation based optimization, series: Springer series on Computational Intelligence, Springer, DOI : 10.1007/978-3-030-18764-4, ISBN : 978-3-030-18763-7
• P. Derennes, V. Chabridon, J. Morio, M. Balesdent, F. Simatos, J.-M. Bourinet and N. Gayton (2019) Nonparametric importance sampling techniques for sensivity analysis and reliability assessment of a launcher stage fallout, in : Modeling and Optimization in Space Engineering : State of the Art and New Challenges, Springer, DOI : 10.1007/978-3-030-10501-3 , ISBN : 978-3-030-10500-6
• M. Balesdent, L. Brevault, N. Price, S. Defoort, R. Le Riche, N.H. Kim, R. Haftka and N. Bérend (2016) Advanced space vehicle design taking into account multidisciplinary couplings and mixed epistemic / aleatory uncertainties  in : Space Engineering: Modeling and Optimization with Case Studies, editors: G. Fasano and J. Pinter, Vol.2:1-48., Springer, DOI : 10.1007/978-3-319-41508-6_1, ISBN : 978-3-319-41508-6
• M. Balesdent and H. Piet-Lahanier (2015) A multi-level optimization approach for the planning of heterogeneous sensor networks, in, Modelling, Computation and Optimization in Information Systems and Management Sciences, editors: Hoai An Le Thi, Tao Pham Dinh, Ngoc Tanh Nguyen, series: Advances in Intelligent Systems and Computing, Vol.360: 221-233, Springer, DOI: 10.1007/978-3-319-18167-7_20, ISBN: 978-3-319-18166-0

Journals

• L. Brevault, M. Balesdent (2024) Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables, Engineering Applications of Artificial Intelligence, Elsevier, Vol.133:108118
• M. Balesdent, L. Brevault, B. Paluch, R. Thépot, R. Wuilbercq, N. Subra, S. Defoort, M. Bourgaie, B. Vieille (2023) Multidisciplinary design and optimization of winged architectures for reusable launch vehicles, Acta Astronautica, Elsevier Vol.211:97-115
• J. Gamot, M. Balesdent, R. Wuilbercq, A. Tremolet, N. Melab, E.-G. Talbi (2023) Hidden-variables metaheuristics for solving variable-sized design space optimal layout with application to aerospace vehicles, Engineering Applications of Artificial Intelligence, Elsevier, Vol.121
• V. Drouet, M. Balesdent, L. Brevault, S. Dubreuil, J. Morio (2023) Multi-fidelity algorithm for the sensitivity analysis of multidisciplinary problems, Journal of Mechanical Design, ASME 145(7): 071703
• A. Hebbal, M. Balesdent, L. Brevault, N. Melab  & E.G. Talbi (2023) Deep Gaussian Process for multi-objective Bayesian optimization, Optimization and Engineering, Springer, Vol.24 (3), 1809-1848
• L Brevault, M. Balesdent, J.L. Valderrama - Zapata (2022) Active Learning Strategy for Surrogate-Based Quantile Estimation of Field Function, Applied Sciences, MDPI, Vol.12(9), 10027
• M. Balesdent, L. Brevault, J.L. Valderrama - Zapata, A. Urbano (2022) All-At-Once formulation integrating pseudo-spectral optimal control for launch vehicle design and uncertainty quantification, Acta Astronautica, Elsevier, Vol. 200:462-477
• L.Brevault et M. Balesdent (2021) Uncertainty quantification for multidisciplinary launch vehicle design using model order reduction and spectral methods, Acta Astronautica, Elsevier, Vol.187:295-314
• J. Pelamatti, L.Brevault, M. Balesdent, E.G. Talbi & Y.Guérin (2021) Mixed-variable Gaussian process based surrogate modeling techniques, application to aerospace design, Journal of Aerospace Information System, AIAA, Vol.18(11):813-837
• G. Sarazin, J. Morio, A.Lagnoux, M. Balesdent & L.Brevault (2021) Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty, Reliability Engineering and System Safety, Elsevier Vol:215, 107733
• A. Hebbal, L. Brevault, M. Balesdent, E.-G. Talbi and N. Melab (2021) Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes, Structural and Multidisciplinary Optimization, Springer, Vol.63:2267–2288, https://doi.org/10.1007/s00158-020-02802-1
• A. Hebbal, L.Brevault, M. Balesdent, E.G. Talbi and N. Melab (2021) Bayesian Optimization using Deep Gaussian Processes with Applications to Aerospace Systems. Optimization and Engineering, Springer,  Vol.22:321-361, DOI : https://doi.org/10.1007/s11081-020-09517-8
• J. Pelamatti, L. Brevault, M. Balesdent and E.G. Talbi (2021) Bayesian optimization of variable-size design space problems. Optimization and Engineering, Springer,  Vol.22:387-447, DOI : https://doi.org/10.1007/s11081-020-09520-z
• L. Brevault, M. Balesdent and A. Hebbal (2020). Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities, application to aerospace systems, Aerospace Science and Technology, Elsevier, Vol.107 : 106339, DOI :https://doi.org/10.1016/j.ast.2020.106339
• L. Brevault, M. Balesdent and A. Hebbal, (2020) Multi-Objective Multidisciplinary Design Optimization Approach for Partially Reusable Launch Vehicle Design, Journal of Spacecraft and Rockets, AIAA, Vol.57(2):373-390, DOI: https://doi.org/10.2514/1.A34601
• J. Pelamatti, L. Brevault, M. Balesdent, E.G. Talbi and Y. Perrin (2018) Efficient global optimization of constrained mixed variable problems, Journal of Global Optimization, Vol.73:583-613, Springer, DOI: https://doi.org/10.1007/s10898-018-0715-1
• V. Chabridon, M. Balesdent, J.-M. Bourinet, J. Morio and N. Gayton (2018) Reliability-based sensitivity estimators of rare event probability in the presence of distribution parameter uncertainty, Reliability Engineering and System Safety, Elsevier, Vol 178:164-178, DOI : https://doi.org/10.1016/j.ress.2018.06.008
• L. Brevault, M. Balesdent and S. Defoort (2018) Preliminary study on launch vehicle design - applications of Multidisciplinary Design Optimization methodologies, Concurrent Engineering: Research and Applications. SAGE, Vol 6(1):93-103, DOI : 10.1177/1063293X17737131, 2018
• V. Chabridon, M. Balesdent, J.-M. Bourinet, J. Morio and N. Gayton (2017) Evaluation of failure probability under parameter epistemic uncertainty: application to aerospace system reliability assessment, Aerospace Science and Technology, Elsevier, Vol(69):526-537, DOI : 10.1016/j.ast.2017.07.016
• N. Price, N.-H. Kim, R.-T. Haftka, M. Balesdent, S. Defoort and R. Le Riche (2016) Deciding Degree of Conservativeness in Initial Design Considering Risk of Future Redesign, Journal of Mechanical Design, ASME, Vol138(11):111409-111409-13, DOI: 10.1115/1.4034347
• L. Brevault, M. Balesdent, S. Lacaze and S. Missoum (2016) Reliability analysis in the presence of aleatory and epistemic uncertainties, application to the prediction of a launch vehicle fallout zone, Journal of Mechanical Design, ASME, Vol.138(11):111401-111401-11, DOI : 10.1115/1.4034106
• C. Durantin, J. Marzat and M. Balesdent (2016) Analysis of multi-objective Kriging-based methods for constrained global optimization, Computational Optimization and Applications, Springer, Vol.63(3): 903-926, DOI:10.1007/s10589-015-9789-6
• M. Balesdent, J. Morio and L. Brevault (2016) Rare event probability estimation in the presence of epistemic uncertainty on input probability distribution parameters, Methodoly and Computing in Applied Probability, Springer, Vol.18(1):197-216. DOI: 10.1007/s11009-014-9411-x
• J. Morio and M. Balesdent (2016) Estimation of a launch vehicle stage fallout zone with parametric and non parametric importance sampling algorithms in presence of uncertain input distributions, Aerospace Science and Technology, Elsevier, Vol.52: 95-101, DOI: 10.1016/j.ast.2016.02.018
• L. Brevault, M. Balesdent, N. Bérend and R. Le Riche (2016) Decoupled MDO formulation for interdisciplinary coupling satisfaction under uncertainty, AIAA Journal, Vol.54(1): 186-205, DOI: 10.2514/1.J054121
• R. Chocat, L. Brevault, M. Balesdent and S. Defoort (2015) Modified Covariance Matrix Adaptation - Evolution Strategy algorithm for constrained optimization under uncertainty, application to rocket design, International Journal for Simulation and Multidisciplinary Optimization, Vol.6:A1, EDP Sciences
• S. Lacaze, L. Brevault, S. Missoum and M. Balesdent (2015) Probability of Failure Sensitivity with respect to Decision Variables, Structural and Multidisciplinary Optimization, Springer, Vol.52(2) : 375-381,DOI: 10.1007/s00158-015-1232-1
• M. Balesdent, J. Morio and J.Marzat (2015) Recommendations for the tuning of rare event probability estimators, Reliability Engineering & System Safety, Elsevier. Vol.133: 68-78, DOI: 10.1016/j.ress.2014.09.001
• J. Morio, M. Balesdent, D. Jacquemart and C. Vergé (2014) A survey of rare event simulation methods for static input-output models, Simulation Modelling Practice and Theory, Elsevier. Vol.49: 287-304, DOI: 10.1016/j.simpat.2014.10.007
• M. Balesdent, J. Morio and J. Marzat (2013) Kriging-based adaptive Importance Sampling algorithms for rare event estimation, Structural Safety, Elsevier. Vol.44: 1-10, DOI: 10.1016/j.strusafe.2013.04.001
• J. Morio, D. Jacquemart, M. Balesdent and J. Marzat (2013) Optimisation of Interacting Particle Systems for Rare Event Estimation, Computational Statistics & Data Analysis, Elsevier. Vol.66: 117-128. DOI: 10.1016/j.csda.2013.03.025
• M. Balesdent, N. Bérend and Ph. Dépincé (2013) New MDO approaches for Launch Vehicle Design, Proceedings of the Institution of Mechanical Engineers, Part G, Journal of Aerospace Engineering, Sage. Vol. 227(10):1545-1555, DOI: 10.1177/0954410012460013
• M. Balesdent, N. Bérend and Ph. Dépincé (2012) Stagewise Multidisciplinary Design Optimization Formulation for Optimal Design of Expendable Launch Vehicles, Journal of Spacecraft and Rockets, AIAA. Vol. 49(4):720-730 DOI: 10.2541/1.52507
• M. Balesdent, N. Bérend, Ph. Dépincé and A. Chriette (2012) A Survey of Mutidisciplinary Design Optimization methods in Launch Vehicle Design, Structural and Multidisciplinary Optimization, Springer. Vol.45(5):619-642 DOI: 10.1007/s00158-011-0701-4
• M. Balesdent, N. Bérend and Ph. Dépincé (2010) Multidisciplinary Design Optimization of a multistage launch vehicle using flight phases decomposition, International Journal for Simulation and Multidisciplinary Design Optimization, EDP Sciences. Vol.4(3-4) :117-125 DOI: 10.1051/ijsmdo/2010015

 

Other articles and arXiv e-prints

• Brevault, L., & Balesdent, M. (2023). Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables. arXiv preprint arXiv:2310.05955.
• Gamot, J., Balesdent, M., Wuilbercq, R., Tremolet, A., Melab, N., & Talbi, E. G. (2023). A Vitual-Force Based Swarm Algorithm for Balanced Circular Bin Packing Problems. arXiv preprint arXiv:2306.01021.
• J.Pelamatti, L. Brevault, M. Balesdent, E.G. Talbi and Y. Guerin (2020) Bayesian optimization of variable-size design space problems arXiv preprint arXiv:2003.03300
• N.B. Price, M. Balesdent, S. Defoort, L. Le Riche, N.H. Kim, and R.T. Haftka, (2019). Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty. arXiv preprint arXiv:1904.08978.
• A. Hebbal, L. Brevault, M. Balesdent, E.G. Talbi, and N. Melab (2019). Bayesian Optimization using Deep Gaussian Processes. arXiv preprint arXiv:1905.03350.
• J.Pelamatti, L. Brevault, M. Balesdent, E.G. Talbi and Y. Guerin (2018) Efficient global optimization of constrained mixed variable problems, arXiv preprint arXiv:1806.03975
• S. Defoort, M. Balesdent, P. Klotz et al.  (2012) Multidisciplinary Aerospace System Design: Principles, Issues and Onera Experience, Aerospace Lab, Vol.4, DOI:10.12762/2012.AL04-12

 

Conferences

• Mori, S., Arnoult, G., Balesdent, M., Brevault, L., Dubreuil, S., & Liauzun, C. (2024). Multi-fidelity reduced order surrogate modeling methodology applied to the multidisciplinary analysis of transonic strut-braced wing aircraft. In AIAA SCITECH 2024 Forum
• Mori, S., Arnoult, G., Balesdent, M., Brevault, L., Liauzun, C., & Dubreuil, S. (2023). Comparative study of multidisciplinary analysis of transonic strut-braced wing aircraft using different aerodynamic simulation fidelity levels. In EUCASS-CEAS 2023.
• J. Gamot, M. Balesdent, R. Wuilbercq, A. Tremolet, N. Melab, E.G. Talbi (2023) Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems, Genetic and Evolutionary Computation Conference, Lisbon, Portugal
• R. Espoeys, L. Brevault, M. Balesdent, S. Ricci, P. Mycek (2023) Multi-fidelity Sequential Bayesian Optimization and Reliability Assessment Method for the Design of Complex Systems, 5th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), Athens, Greece
• E. Tormena, A.R. Silva Teixeira, L. Brevault, M. Balesdent, A. Urbano (2022) Multidisciplinary deisng analysis and optimization of launch vehicles including environmental impact, 9th European Conference for Aeronautical and Space Sciences, Lille, France
• M. Balesdent, L. Brevault, B. Paluch, R. Wuilbercq, S. Defoort, R. Thépot, B. Vieille (2022) Design of  fly-back reusable launch vehicle architecture using air-breathing propulsion, 9th European Conference for Aeronautical and Space Sciences, Lille, France
• J. Gamot, R. Wuilbercq, M. Balesdent, A. Tremolet, N. Melab, E.G. Talbi (2022) Component Swarm Optimization using Virtual Forces for Solving Layout Problems, 13th International Conference on Swarm Intelligence, Malaga, Spain
• C. Laboulfie, M. Balesdent, L. Brevault, F.X. Irisarri, J.F. Maire, L. Le Riche, S. Da Veiga (2022) Mixed-effects methods for material model calibration: influence of assumptions on parameter distributions, European Community on Computational Methods in Applied Sciences (ECCOMAS),  Oslo, Norway
• C. Laboulfie, M. Balesdent, L. Brevault, F.X. Irisarri, J.F. Maire, L. Le Riche, S. Da Veiga (2022) Sequential calibration of material model using mixed-effects, 25ème congrès français de la mécanique, Nantes 2022
• L. Brevault, M. Balesdent (2022) All-At-Once formulation integrating pseudo-spectral optimal control for launch vehicle design and uncertainty quantification, 22nd ONERA DLR Aerospace Symposium, Hamburg, Germany
• R. Espoeys, M. Balesdent, S. Ricci, L. Brevault, P. Mycek  (2022) Overview and comparison of reliability analysis techniques based on different multi-fidelity Gaussian Processes, ASMO-UK 12 / ASMO-Europe 1 / ISSMO Conference on Engineering Design Optimization, Leeds, UK
• M. Balesdent (2022) Multiphysics system analysis and optimization under uncertainty, MASCOT-NUM annual meeting
• M. Balesdent (2021) System analysis and design in uncertainty, World Congress of Structural and Multidisciplinary Optimization, Boulder, USA
• J. Valderrama, L.Brevault, M. Balesdent, A. Urbano (2021) All-At-Once MDO formulation for coupled optimization of launch vehicle design and its trajectory using a pseudo spectral method, World Congress of Structural and Multidisciplinary Optimization, Boulder, USA
• L. Brevault, M. Balesdent (2021) Uncertainty quantification for multidisciplinary launch vehicle design using model order reduction and spectral methods, World Congress of Structural and Multidisciplinary Optimization, Boulder, USA
• C. Laboulfie, M. Balesdent, L. Brevault, S. da Veiga, F.X. Irisarri, R. Le Riche, J.F. Maire (2021) Calibration of material model using mixed-effects models, 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021)
• A Hebbal, L. Brevault, M. Balesdent, E.G. Talbi and N. Melab (2019) Multi-fidelity modeling using DGPs: Improvements and a generalization to varying input space dimensions, Bayesian Deep Learning Workshop, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada
• G. Sarazin, J. Morio, A. Lagnoux, M. Balesdent and L. Brevault (2019) Sensitivity Analysis of Risk Assessment with Data-Driven Dependence Modeling, 29th European Safety and Reliability Conference, Septembre 2019, Hannover, Germany
• M. Balesdent, L. Brevault, B. Paluch, R. Wuilbercq, N. Subra, R. Thépot and A. Patureau de Mirand (2019) Design and optimization of glide-back reusable launch vehicle architectures, 8th European Conference For Aeronautics and Aerospace Sciences, July 2019, Madrid, Spain
• L. Brevault, M. Balesdent, R. Wuilbercq, N. Subra, S. Oriol, C. Bonnal, O. Nailard, R. Bond and R. Varvill (2019) Conceptual design of a Two-Stage-To-Orbit vehicle using SABRE engines, 8th European Conference For Aeronautics and Aerospace Sciences, July 2019, Madrid, Spain
• A. Hebbal, L. Brevault, M. Balesdent, E.-G. Talbi and N. Melab (2019) Multi-objective optimization using Deep Gaussian Processes: Application to Aerospace Vehicle Design, AIAA Scitech Conference, January 7-11, 2019, San Diego, USA
• J. Pelamatti, L. Brevault, M. Balesdent, E.-G. Talbi and Y. Guerin (2019) Surrogate model based optimization of constrained mixed
  variable problems: application to the design of a launch vehicle bottom skirt, AIAA Scitech Conference, January 7-11, 2019, San Diego, USA
• L. Brevault, M. Balesdent, A. Hebbal and A. Patureau de Mirand (2019) Surrogate model-based multi-objective MDO approach for partially Reusable Launch Vehicle design, AIAA Scitech Conference, January 7-11, 2019, San Diego, USA
• A. Hebbal, L. Brevault, M. Balesdent, E.-G. Talbi and N. Melab (2018) Multi-Disciplinary Design Multi-Objective Optimization of Aerospace Vehicles using Surrogate Models, International Workshop on Optimization and Learning : Challenges and Applications, February 26 - 28, 2018, Alicante, Spain
• A. Hebbal, L. Brevault, M. Balesdent, E.-G. Talbi and N. Melab (2018)  Efficient Global Optimization using Deep gaussian Processes, IEEE Congress on Evolutionary Computation, July 8-13 , 2018, Rio de Janeiro, Brazil
• J. Pelamatti, L. Brevault, M. Balesdent, E.-G. Talbi and Y. Guerin (2018) Surrogate model based optimization of constrained mixed variable problems, 8th International Conference on Bio inspired Optimization Methods  and their Applications, May 16-18, 2018, Paris, France
• V. Chabridon, M. Balesdent, J.-M. Bourinet, J. Morio and N. Gayton (2018) Nonparametric adaptive importance sampling strategy for reliability assessment and sensitivity analysis under distribution parameter uncertainty – Application to a launch vehicle fallback zone estimation 10elmes journées Fiabilité des Matéroaix et des Structures, March 27-28 , 2018, Bordeaux, France
• J. Pelamatti, L. Brevault, M. Balesdent, E.-G. Talbi and Y. Guerin (2017) How to deal with mixed-variable optimization problem : An overview of algorithms and formulation. In: Schumacher A., Vietor T., Fiebig S., Bletzinger KU., Maute K. (eds) Advances in Structural and Multidisciplinary Optimization. WCSMO 2017. Springer
• V. Chabridon, N. Gayton, J.-M. Bourinet, M. Balesdent andJ. Morio (2017) Some Bayesian insights about the APTA method for statistical tolerance analysis. 23e Congrès Français de Mécanique, August 28 - September 1, 2017, Lille, France
• L. Brevault, M. Balesdent and J. Morio (2017) Rare event probability estimation in the presence of epistemic uncertainty. 10th International Conference on Mathematical Methods in Reliability, July 3-6, 2017, Grenoble, France
• L. Brevault, M. Balesdent and J. Morio (2017) Impact of modeling uncertainties on input probability distribution tails to rare event probability estimation, application to aerospace vehicle reliability assessment. 12th International Conference on Structural Safety & Reliability, August 6-10, 2017, Vienna, Austria
• V. Chabridon, M. Balesdent, J.-M. Bourinet, J. Morio and N. Gayton  (2017) Reliability-based sensitivity analysis of aerospace systems under distribution parameter uncertainty using an augmented approach. 12th International Conference on Structural Safety & Reliability, August 6-10, 2017, Vienna, Austria
• L. Brevault, M. Balesdent and S. Defoort (2016) Preliminary study on launcher design – an illustration of Onera’s knowledge and tools. 7th International Conference on Systems and Concurrent Engineering for Space Applications, October 5-7, 2016, Madrid, Spain
• N. Price, M. Balesdent, S. Defoort, R. Le Riche, N.H. Kim and R. Haftka (2016) Simulating Future Test and Redesign Considering Epistemic Model Uncertainty.18th AIAA Non-Deterministic Approaches Conference, AIAA Science and Technology Forum and Exposition, January 4 - 8 , 2016, San Diego, USA
• M. Balesdent and H. Piet-Lahanier (2015) A multi-level optimization approach for theplanning of heterogeneous sensor networks, Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2015), May  11-13, 2015, Metz, France
• S. Lacaze, S. Missoum, L. Brevault and M. Balesdent (2015) A Sampling-based RBDO Algorithm with Local Refinement and Efficient Gradient Estimation. 12th International Conference on Applications of Statistics and Probability in Civil Engineering, July 12-15, 2015, Vancouver, Canada
• L. Brevault, M. Balesdent, N. Bérend and R. Le Riche (2015) SubSystem Hierarchical Optimization with functional coupling satisfaction under uncertainty, application to sounding rocket design. 11th ISSMO World Congress on Structural and Multidisciplinary Optimization,  June 7-12, 2015, Sydney, Australie
• L. Brevault, M. Balesdent, N. Bérend et R. Le Riche (2014) Decoupled UMDO formulation for interdisciplinary coupling satisfaction under uncertainty. 15th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference. June 16 - 20, 2014, Atlanta, USA
• T. Gorecki, H. Piet-Lahanier, J. Marzat and M. Balesdent (2013) Cooperative guidance of UAVs for area exploration with final target allocation, Proceedings of the 19th IFAC Symposium on Automatic Control in Aerospace,  September 2 - 6, 2013, Würzburg, Germany
• L. Brevault, M. Balesdent, N. Bérend and R. Le Riche (2013) Challenges and future trends in Uncertainty-Based Multidisciplinary Design Optimization for space transportation system design, 5th European Conference for Aerospace Sciences, July 1 – 4, 2013, Munich, Germany
• L. Brevault, M. Balesdent, N. Bérend and R. Le Riche (2013) Comparison of different global sensitivity analysis methods for aerospace vehicle optimal design, 10th ISSMO World Congress on Structural and Multidisciplinary Optimization, May 19-24, 2013, Orlando, USA
• M. Balesdent, N. Bérend and Ph. Dépincé (2011) New MDO approaches for Launch Vehicle Design. 4th European Conference for Aerospace Sciences,  July 4 – 8, 2011, St Pétersbourg, Russia.

• M. Balesdent, N. Bérend and Ph. Dépincé (2011) MDO formulations and techniques adapted to multistage launch vehicle design, 9th ISSMO World Congress on Structural and Multidisciplinary Optimization. June 13 – 17, 2011, Shizuoka, Japan.

• L. Planckaert, P. Coton and M. Balesdent (2010) Tools for dynamic adjustment of aircraft separations in wake vortices, 27th International Congress of the Aeronautical Sciences.  September 19 – 24, 2010, Nice, France.

• M. Balesdent, N. Bérend and Ph. Dépincé (2010) Optimal Design of Expendable Launch Vehicles using Stage-Wise MDO Formulation, 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference.  September 13 – 15, 2010, Fort Worth, USA.

• M. Balesdent, N. Bérend and Ph. Dépincé (2010) Multidisciplinary Design Optimization of a multistage launch vehicle using flight phases decomposition, 3rd ASMDO International Conference on Multidisciplinary Design Optimization and Applications. June 21 – 23, 2010, Paris, France

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Contact

Chemin de la Hunière

FR-91761

PALAISEAU CEDEX

E-mail : mathieu(dot)balesdent(at)onera(dot)fr

tel:  +33 1 80 38 66 08