- 10
- 9
- 6
- 3
- 2
- 1
- 1
- 1
- 1
Christian Soize
Professor Emeritus,
Université Gustave Eiffel,
MSME UMR 8208
44%
Libre accès
34
Documents
Affiliations actuelles
Identifiants chercheurs
- christian-soize
- ResearcherId : C-3704-2016
- 0000-0002-1083-6771
- ResearcherId : http://www.researcherid.com/rid/C-3704-2016
Présentation
. Statistical Learning, Probabilistic Learning, Machine Learning, and Nonconvex Optimization Problem.
. Uncertainty Quantification, stochastic modeling of uncertainties in computational sciences and engineering, their propagation and their quantification solving stochastic inverse problems.
. Stochastic multi-scale modeling and application to microstructures of heterogeneous materials.
. Computational science, computational mechanics, linear and nonlinear structural dynamics, structural acoustics, vibroacoustics, and coupled systems.
. Computational stochastic dynamics for linear and nonlinear dynamical systems.
Domaines de recherche
Compétences
Publications
- 2
- 4
- 2
- 1
- 1
- 7
- 4
- 1
- 5
- 4
- 2
- 1
- 8
- 5
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 34
- 19
- 6
- 5
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 26
- 8
- 2
- 2
- 1
- 1
- 1
- 1
Optimisation de la vitesse de trains sous contraintes de confort et de ponctualité, en présence d’incertitudes54 èmes Journées de Statistique de la SFdS (JDS 2023), Université Libre de Bruxelles, Jul 2023, Bruxelles, Belgique
Communication dans un congrès
hal-04146600v1
|
|
Real-time optimization of speed control to limit train energy consumptionMASCOT-NUM 2023, Apr 2023, Le Croisic, France
Communication dans un congrès
hal-04081892v1
|
|
Uncertainty quantification for high-speed train dynamics modeling and optimization under uncertainties to limit energy consumptionThe 15th World Congress of Computational Mechanics (WCCM 2022), Jul 2022, Yokohama, Japan
Communication dans un congrès
hal-03749644v1
|
|
|
Bayesian inference for high-speed train dynamics and speed optimization under uncertainty for energy savingThe 30th edition of the biennial ISMA conference on Noise and Vibration Engineering (ISMA 2022) and The 9th International Conference on Uncertainty in Structural Dynamics, USD 2022, KU Leuven, Sep 2022, Leuven, Belgium. pp.1-6
Communication dans un congrès
hal-03799277v1
|
Robust adaptation of the train speed for energy saving under punctaulity and security constraintsMASCOT-NUM 2022, Jun 2022, Clermont Ferrand, France
Communication dans un congrès
hal-03749632v1
|
|
|
Driver’s control optimization under uncertainties to reduce energy consumption of high-speed trainsThe fifth international conference of railway technology, Railways 2022, Aug 2022, Montpellier, France. pp.1-5, ⟨10.4203/ccc.1.7.6⟩
Communication dans un congrès
hal-03799316v1
|
High-speed train speed optimization for limiting energy consumptionthe 27th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2021), Aug 2021, Saint-Petersburg, Russia
Communication dans un congrès
hal-03381366v1
|
|
Optimization under uncertainties of high-speed train speed to limit energy consumptionUNCECOMP 2021, 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2021, Athens, Greece
Communication dans un congrès
hal-03278233v1
|
|
Bayesian identification of the random elasticity field of a heterogeneous microstructureThe 13th World Congress of Computational Mechanics (WCCM 2018) and Second Pan American Congress on Computational Mechanics (PANACM II), Jul 2018, New York, United States
Communication dans un congrès
hal-01876756v1
|
|
Railway dynamics for the condition monitoring of suspensionsTRA Vienna 2018, A digital era for transport, Apr 2018, Vienna, Austria
Communication dans un congrès
hal-01810458v1
|
|
Bayesian calibration of high-speed train suspensions parameters using Kriging metamodelingIMAC XXXVIII, Feb 2018, Orlando, Florida, United States. pp.1-3
Communication dans un congrès
hal-01810455v1
|
|
State health monitoring of high-speed train suspensions by bayesian calibration based on gaussian surrogate modelingThe 13th World Congress of Computational Mechanics (WCCM 2018) and Second Pan American Congress on Computational Mechanics (PANACM II), Jul 2018, New York, United States
Communication dans un congrès
hal-01876753v1
|
|
|
Bayesian calibration of mechanical parameters of high-speed train suspensions10th International Conference on Structural Dynamics, EURODYN 2017, EASD, Sep 2017, Rome, Italy. pp.1234-1239
Communication dans un congrès
hal-01585710v1
|
|
Inverse identification of mechanical parameters of high-speed train suspensions submitted to random track irregularities12th International Conference on Structural Safety & Reliability, ICOSSAR 2017, Aug 2017, Vienna, Austria. pp.1-9
Communication dans un congrès
hal-01575047v1
|
|
Identification expérimentale des paramètres de suspensions des trains à grande vitesse par méthode statistique inverse13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France
Communication dans un congrès
hal-01899340v1
|
Statistical inverse problems for non-Gaussian non-stationary stochastic processes defined by a set of realizationsWorkshop "Propagation of Uncertainty", Institut Henti Poincaré, 2015, Paris, France, 2015, Paris, France
Communication dans un congrès
hal-01306386v1
|
|
Statistical inverse problems for non-gaussian non-stationary stochastic processes defined by a set of realizations12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Jul 2015, Vancouver, Canada
Communication dans un congrès
hal-01192564v1
|
|
Statistical inverse problems for non-Gaussian non-stationary stochastic processes defined by a set of realizationsWorkshop "Propagation of Uncertainty", Institut Henti Poincaré, Dec 2015, Paris, France
Communication dans un congrès
hal-01648105v1
|
|
|
Statistical inverse problems for non-gaussian non-stationary stochastic processes defined by a set of realizationsUNCECOMP 2015, 1st ECCOMAS Thematic International Conference on Uncertainty Quantification in Computational Sciences and Engineering, May 2015, The Island of Crete, Greece. pp.1-8
Communication dans un congrès
hal-01162182v1
|
PCE identification from a set of realizationsWorkshop on Numerical Methods for High-Dimensional Problems, École des Ponts ParisTech, Apr 2014, Champs-sur-Marne, France
Communication dans un congrès
hal-01305534v1
|
|
Representations of non-Gaussian positive-definite matrix-valued random fields for elliptic BVP and statistical inverse identification in high dimension using partial and limited experimental dataWorkshop on Numerical Methods for High-Dimensional Problems, Ecole des Ponts ParisTech, Apr 2014, Champs-sur-Marne, Marne-la-Vallée, France. pp.Pages: 1-2
Communication dans un congrès
hal-00989445v1
|
Representations of non-Gaussian positive-definite matrix-valued random fields for elliptic BVP and statistical inverse identification in high dimension using partial and limited experimental data2014
Autre publication scientifique
hal-01591433v1
|
|
PCE identification from a set of realizations2014
Autre publication scientifique
hal-01591428v1
|
|
Nested polynomial trends for the improvement of Gaussian process-based predictors2016
Pré-publication, Document de travail
hal-01298861v1
|
Data-driven kernel representations for sampling with an unknown block dependenceEcole Centrale Nantes, GDR MascotNum, March 22, 2018. 2018
Autre rapport, séminaire, workshop
hal-01818920v1
|
|
Stochastic representations and statistical inverse identification for uncertainty quantification in computational mechanicsInvited seminar, SEMTE, Arizona State University (ASU), Tempe, Arizona, December 4. 2015
Autre rapport, séminaire, workshop
hal-01306385v1
|