Nombre de documents


CV de Sébastien Boyaval

Pré-publication, Document de travail2 documents

  • John Barrett, Sébastien Boyaval. Finite Element Approximation of the FENE-P Model. 2017. <hal-01501197>
  • Sébastien Boyaval. A Finite-Volume discretization of viscoelastic Saint-Venant equations for FENE-P fluids. 2017. <hal-01433712>

Article dans une revue12 documents

  • François Bouchut, Sébastien Boyaval. Unified derivation of thin-layer reduced models for shallow free-surface gravity flows of viscous fluids. European Journal of Mechanics - B/Fluids, Elsevier, 2016, 55 (1), pp.116-131. <10.1016/j.euromechflu.2015.09.003>. <hal-00833468v2>
  • Emmanuel Audusse, Sébastien Boyaval, Nicole Goutal, Magali Jodeau, Philippe Ung. Numerical Simulation of the Dynamics of Sedimentary River Beds with a Stochastic Exner Equation. ESAIM: Proceedings and Surveys, EDP Sciences, 2015, 48, pp.321 - 340. <10.1051/proc/201448015>. <hal-01102335>
  • Joubine Aghili, Sébastien Boyaval, Daniele Di Pietro. Hybridization of Mixed High-Order Methods on General Meshes and Application to the Stokes Equations. Computational Methods in Applied Mathematics, De Gruyter, 2015, 15 (2), pp.111-134. <10.1515/cmam-2015-0004>. <hal-01009723v2>
  • Nicolas James, Alexandre Caboussat, Sébastien Boyaval, M. Picasso. Numerical simulation of 3D free surface flows, with multipleincompressible immiscible phases. Applications to impulse waves. International Journal for Numerical Methods in Fluids, Wiley, 2014, pp.00:1-24. <hal-01074886>
  • Sébastien Boyaval. A new model for shallow viscoelastic free-surface flows forced by gravity on rough inclined bottom. ESAIM: Proceedings, EDP Sciences, 2014, 45, pp.108 - 117. <hal-01077067>
  • François Bouchut, Sébastien Boyaval. A new model for shallow viscoelastic fluids. Mathematical Models and Methods in Applied Sciences, World Scientific Publishing, 2013, 23 (8), pp.1479-1526. <10.1142/S0218202513500140>. <hal-00628651v2>
  • Sébastien Boyaval, M. Picasso. A posteriori analysis of Chorin-Temam scheme for Stokes equations. Comptes Rendus Mathématique, Elsevier Masson, 2013, 351 (23-24), pp.931-936. <10.1016/j.crma.2013.10.026>. <hal-00876069>
  • Sébastien Boyaval. A fast Monte-Carlo method with a Reduced Basis of Control Variates applied to Uncertainty Propagation and Bayesian Estimation. Computer Methods in Applied Mechanics and Engineering, Elsevier, 2012, 241-244, pp.190-205. <10.1016/j.cma.2012.05.003>. <hal-00666264>
  • John W. Barrett, Sébastien Boyaval. Existence and approximation of a (regularized) Oldroyd-B model. Mathematical Models and Methods in Applied Sciences, World Scientific Publishing, 2011, 21 (9), pp.1783-1837. <10.1142/S0218202511005581>. <hal-00409594>
  • Alexandre Caboussat, Sébastien Boyaval, Alexandre Masserey. On the Modeling and Simulation of Non-Hydrostatic Dam Break Flows. Computing and Visualization in Science, Springer Verlag, 2011, 14 (8), pp.401-417. <10.1007/s00791-013-0190-7>. <hal-00808087>
  • Sébastien Boyaval, Claude Le Bris, Tony Lelièvre, Yvon Maday, Ngoc Cuong Nguyen, et al.. Reduced basis techniques for stochastic problems. Archives of Computational Methods in Engineering, Springer Verlag, 2010, 17 (4), pp.435-454. <10.1007/s11831-010-9056-z>. <hal-00470522>
  • Sébastien Boyaval, Tony Lelièvre. A Variance Reduction Method for Parametrized Stochastic Differential Equations using the Reduced Basis Paradigm. Communications in Mathematical Sciences, International Press, 2010, 8 (3), pp.735-762. <hal-00402702>

Rapport3 documents

  • Sébastien Boyaval, Tony Lelièvre, Claude Mangoubi. Free-energy-dissipative schemes for the Oldroyd-B model. [Research Report] RR-6413, INRIA. 2008, pp.53. <inria-00204620v2>
  • Sébastien Boyaval, Claude Le Bris, Yvon Maday, Ngoc Cuong Nguyen, Anthony Patera. A Reduced Basis Approach for Variational Problems with Stochastic Parameters: Application to Heat Conduction with Variable Robin Coefficient. [Research Report] RR-6617, INRIA. 2008, pp.50. <inria-00311463>
  • Sébastien Boyaval. Reduced-Basis approach for homogenization beyond the periodic setting. [Research Report] RR-6130, INRIA. 2007, pp.29. <inria-00132763v3>

Direction d'ouvrage, Proceedings1 document

  • Emmanuel Audusse, Sébastien Boyaval, Yueyuan Gao, Danielle Hilhorst. NUMERICAL SIMULATIONS OF THE PERIODIC INVISCID BURGERS EQUATION WITH STOCHASTIC FORCING. France. 48, pp.308-320, 2015, ESAIM: Proceedings and Surveys. <hal-00962213v2>

Thèse1 document

  • Sébastien Boyaval. Mathematical modelling and numerical simulation in materials science. Mathematics [math]. Université Paris-Est, 2009. English. <NNT : 2009PEST1040>. <tel-00499254>