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Mathieu Balesdent
Mathieu Balesdent
Senior research scientist (Directeur de Recherche), HDR, ONERA
Adresse e-mail validée de onera.fr - Page d'accueil
Titre
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Année
Kriging-based adaptive importance sampling algorithms for rare event estimation
M Balesdent, J Morio, J Marzat
Structural Safety 44, 1-10, 2013
1862013
A survey of multidisciplinary design optimization methods in launch vehicle design
M Balesdent, N Bérend, P Dépincé, A Chriette
Structural and Multidisciplinary Optimization 45 (5), 619-642, 2012
1722012
Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems
J Morio, M Balesdent
Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems, 2015
123*2015
A survey of rare event simulation methods for static input–output models
J Morio, M Balesdent, D Jacquemart, C Vergé
Simulation Modelling Practice and Theory 49, 287-304, 2014
892014
Bayesian optimization using deep Gaussian processes with applications to aerospace system design
A Hebbal, L Brevault, M Balesdent, EG Talbi, N Melab
Optimization and Engineering 22, 321-361, 2021
83*2021
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities, application to aerospace systems
L Brevault, M Balesdent, A Hebbal
Aerospace Science and Technology 107, 106339, 2020
832020
Efficient global optimization of constrained mixed variable problems
J Pelamatti, L Brevault, M Balesdent, EG Talbi, Y Guerin
Journal of Global Optimization 73 (3), 583-613, 2018
672018
Analysis of multi-objective Kriging-based methods for constrained global optimization
C Durantin, J Marzat, M Balesdent
Computational Optimization and Applications 63 (3), 903-926, 2016
672016
Optimisation multidisciplinaire de lanceurs (multidisciplinary design optimization of launch vehicles)
M Balesdent
Ecole Centrale de Nantes, 2011
52*2011
Aerospace system analysis and optimization in uncertainty
L Brevault, M Balesdent, J Morio
Springer International Publishing, 2020
47*2020
Multi-objective multidisciplinary design optimization approach for partially reusable launch vehicle design
L Brevault, M Balesdent, A Hebbal
Journal of Spacecraft and Rockets 57 (2), 373-390, 2020
472020
Evaluation of failure probability under parameter epistemic uncertainty: application to aerospace system reliability assessment
V Chabridon, M Balesdent, JM Bourinet, J Morio, N Gayton
Aerospace Science and Technology 69, 526-537, 2017
442017
Reliability-based sensitivity estimators of rare event probability in the presence of distribution parameter uncertainty
V Chabridon, M Balesdent, JM Bourinet, J Morio, N Gayton
Reliability Engineering & System Safety 178, 164-178, 2018
432018
Bayesian optimization of variable-size design space problems
J Pelamatti, L Brevault, M Balesdent, EG Talbi, Y Guerin
Optimization and Engineering 22, 387-447, 2021
412021
Rare event probability estimation in the presence of epistemic uncertainty on input probability distribution parameters
M Balesdent, J Morio, L Brevault
Methodology and Computing in Applied Probability 18 (1), 197-216, 2016
402016
Reliability analysis in the presence of aleatory and epistemic uncertainties, application to the prediction of a launch vehicle fallout zone
L Brevault, S Lacaze, M Balesdent, S Missoum
Journal of Mechanical Design, 2016
392016
Multi-fidelity modeling with different input domain definitions using deep Gaussian processes
A Hebbal, L Brevault, M Balesdent, EG Talbi, N Melab
Structural and Multidisciplinary Optimization 63, 2267-2288, 2021
362021
Probability of failure sensitivity with respect to decision variables
S Lacaze, L Brevault, S Missoum, M Balesdent
Structural and Multidisciplinary Optimization 52, 375-381, 2015
352015
Overview and comparison of gaussian process-based surrogate models for mixed continuous and discrete variables: Application on aerospace design problems
J Pelamatti, L Brevault, M Balesdent, EG Talbi, Y Guerin
High-Performance Simulation-Based Optimization, 189-224, 2020
342020
Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty
G Sarazin, J Morio, A Lagnoux, M Balesdent, L Brevault
Reliability Engineering & System Safety 215, 107733, 2021
332021
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