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Bibliography

Major publications by the team in recent years
  • 1K. Burrage, J. Erhel.

    On the performance of various adaptive preconditioned GMRES, in: Numerical Linear Algebra with Applications, 1998, vol. 5, pp. 101-121.
  • 2J. Carrayrou, J. Hoffmann, P. Knabner, S. Kräutle, C. De Dieuleveult, J. Erhel, J. Van der Lee, V. Lagneau, K. Mayer, K. MacQuarrie.

    Comparison of numerical methods for simulating strongly non-linear and heterogeneous reactive transport problems. The MoMaS benchmark case, in: Computational Geosciences, 2010, vol. 14, no 3, pp. 483-502.
  • 3T. Chacón-Rebollo, R. Lewandowski.

    Mathematical and Numerical Foundations of Turbulence Models and Applications, Modeling and Simulation in Science, Engineering and Technology, Birkhäuser Basel, 2014.
  • 4T. Corpetti, D. Heitz, G. Arroyo, E. Mémin, A. Santa-Cruz.

    Fluid experimental flow estimation based on an optical-flow scheme, in: Experiments in fluids, 2006, vol. 40, pp. 80–97.
  • 5J.-R. De Dreuzy, A. Beaudoin, J. Erhel.

    Asymptotic dispersion in 2D heterogeneous porous media determined by parallel numerical simulations, in: Water Resource Research, 2007, vol. 43, no W10439, doi:10.1029/2006WR005394.
  • 6A. Gronskis, D. Heitz, E. Mémin.

    Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation, in: Journal of Computational Physics, 2013, vol. 242, pp. 480-497. [ DOI : 10.1016/j.jcp.2013.01.051 ]

    http://www.sciencedirect.com/science/article/pii/S0021999113001290
  • 7D. Heitz, E. Mémin, C. Schnoerr.

    Variational Fluid Flow Measurements from Image Sequences: Synopsis and Perspectives, in: Experiments in fluids, 2010, vol. 48, no 3, pp. 369–393.
  • 8H. Hoteit, J. Erhel, R. Mosé, B. Philippe, P. Ackerer.

    Numerical Reliability for Mixed Methods Applied to Flow Problems in Porous Media, in: Computational Geosciences, 2002, vol. 6, pp. 161-194.
  • 9E. Mémin.

    Fluid flow dynamics under location uncertainty, in: Geophysical & Astrophysical Fluid Dynamics, 2014, vol. 108, no 2, pp. 119-146.

    http://dx.doi.org/10.1080/03091929.2013.836190
  • 10N. Nassif, J. Erhel, B. Philippe.

    Introduction to computational linear Algebra, CRC Press, 2015.
  • 11N. Papadakis, E. Mémin.

    A variational technique for time consistent tracking of curves and motion, in: Journal of Mathematical Imaging and Vision, 2008, vol. 31, no 1, pp. 81–103.

    http://www.irisa.fr/fluminance/publi/papers/Papadakis-Memin-JMIV07.pdf
  • 12V. Resseguier, E. Mémin, B. Chapron.

    Geophysical flows under location uncertainty, Part I Random transport and general models, in: Geophys. & Astro. Fluid Dyn., 2017, vol. 111, no 3, pp. 149-176.
  • 13V. Resseguier, E. Mémin, B. Chapron.

    Geophysical flows under location uncertainty, Part II Quasi-geostrophy and efficient ensemble spreading, in: Geophysical and Astrophysical Fluid Dynamics, April 2017, vol. 111, no 3, pp. 177-208. [ DOI : 10.1080/03091929.2017.1312101 ]

    https://hal.inria.fr/hal-01391476
  • 14V. Resseguier, E. Mémin, B. Chapron.

    Geophysical flows under location uncertainty, Part III SQG and frontal dynamics under strong turbulence conditions, in: Geophysical and Astrophysical Fluid Dynamics, April 2017, vol. 111, no 3, pp. 209-227. [ DOI : 10.1080/03091929.2017.1312102 ]

    https://hal.inria.fr/hal-01391484
  • 15V. Resseguier, E. Mémin, D. Heitz, B. Chapron.

    Stochastic modelling and diffusion modes for proper orthogonal decomposition models and small-scale flow analysis, in: J. Fluid Mech., 2017, vol. 828, 29 p.
  • 16Y. Saad, M. Yeung, J. Erhel, F. Guyomarc'h.

    A deflated version of the Conjugate Gradient Algorithm, in: SIAM Journal on Scientific Computing, 2000, vol. 21, no 5, pp. 1909-1926.
Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 19W. Bauer, F. Gay-Balmaz.

    Towards a geometric variational discretization of compressible fluids: the rotating shallow water equations, in: Journal of Computational Dynamics (JCD), 2018.

    https://hal.inria.fr/hal-01958134
  • 20L. C. Berselli, R. Lewandowski.

    On the Bardina's model in the whole space, in: Journal of Mathematical Fluid Mechanics, 2018, vol. 20, no 3, pp. 1335–1351. [ DOI : 10.1007/s00021-018-0369-2 ]

    https://hal.archives-ouvertes.fr/hal-01590760
  • 21P. Chandramouli, D. Heitz, S. Laizet, E. Mémin.

    Coarse large-eddy simulations in a transitional wake flow with flow models under location uncertainty, in: Computers and Fluids, May 2018, vol. 168, pp. 170–189. [ DOI : 10.1016/j.compfluid.2018.04.001 ]

    https://hal.inria.fr/hal-01764616
  • 22B. Chapron, P. Dérian, E. Mémin, V. Resseguier.

    Large scale flows under location uncertainty: a consistent stochastic framework, in: Quarterly Journal of the Royal Meteorological Society, 2018, vol. 144, no 710, pp. 251-260. [ DOI : 10.1002/qj.3198 ]

    https://hal.inria.fr/hal-01629898
  • 23J. Erhel, T. Migot.

    Characterizations of Solutions in Geochemistry: Existence, Uniqueness and Precipitation Diagram, in: Computational Geosciences, 2018, pp. 1-13. [ DOI : 10.1007/s10596-018-9800-2 ]

    https://hal.inria.fr/hal-01584490
  • 24M. Khalid, L. Pénard, E. Mémin.

    Optical Flow For Image-Based River Velocity Estimation, in: Flow Measurement and Instrumentation, 2019, vol. 65, pp. 110-121. [ DOI : 10.1016/j.flowmeasinst.2018.11.009 ]

    https://hal.inria.fr/hal-01930498
  • 25M. M. Mohseni, G. TISSOT, M. Badawi.

    Forced convection heat transfer of Giesekus fluid with wall slip above the critical shear stress in pipes, in: International Journal of Heat and Fluid Flow, June 2018, vol. 71, pp. 442-450. [ DOI : 10.1016/j.ijheatfluidflow.2018.05.005 ]

    https://hal.inria.fr/hal-01946843
  • 26K. Sasaki, G. TISSOT, A. Cavalieri, F. Silvestre, P. Jordan, D. Biau.

    Closed-loop control of a free shear flow - a framework using the parabolized stability equations, in: Theoretical and Computational Fluid Dynamics, December 2018, vol. 32, no 6, pp. 765-788.

    https://hal.inria.fr/hal-01946835
  • 27Y. Yang, E. Mémin.

    Estimation of physical parameters under location uncertainty using an Ensemble2-Expectation-Maximization algorithm, in: Quaterly journal of the royal meteorological society, November 2018, pp. 1-47. [ DOI : 10.1002/qj.3438 ]

    https://hal.inria.fr/hal-01944730

Invited Conferences

  • 28J. Erhel.

    About Parallel Variants of GMRES Algorithm, in: SIAM conference on Parallel Processing for Scientific Computing, Tokyo, Japan, March 2018, pp. 1-52.

    https://hal.inria.fr/hal-01892343
  • 29J. Erhel, T. Migot.

    Precipitation and dissolution of minerals in geochemistry, in: 2018 - Reactive Transport Modeling Workshop, Paris, France, February 2018, pp. 1-30.

    https://hal.inria.fr/hal-01892435
  • 30B. Hamlat, J. Erhel, A. Michel, T. Faney.

    Limited Reaction Rates Models for Multiphase Reaction Kinetics, in: Reactive Transport Modeling Workshop, Paris, France, February 2018.

    https://hal.inria.fr/hal-01944250
  • 31G. Pichot, P. Laug, J. Erhel, R. Le Goc, C. DARCEL, P. Davy, J.-R. De Dreuzy.

    Flow simulations in geology-based Discrete Fracture Networks, in: 2018 - Reactive Flows in Deformable, Complex Media, Oberwolfach, Germany, August 2018, pp. 1-3.

    https://hal.inria.fr/hal-01900605

International Conferences with Proceedings

  • 32S. Cai, E. Mémin, Y. Yang, C. Xu.

    Sea Surface Flow Estimation via Ensemble-based Variational Data Assimilation, in: Annual American Control Conference (ACC 2018), Milwaukee, WI, United States, June 2018.

    https://hal.inria.fr/hal-01971389
  • 33P.-M. Gibert, R. Losseau, A. Guironnet, P. Panciatici, D. Tromeur-Dervout, J. Erhel.

    Use of the Sinusoidal Predictor Method within a fully separated modeler/solver framework for fast and flexible EMT simulations, in: SIMULTECH 2018 - 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Porto, Portugal, July 2018.

    https://hal.inria.fr/hal-01944359
  • 34P.-M. Gibert, P. Panciatici, R. Losseau, A. Guironnet, D. Tromeur-Dervout, J. Erhel.

    Speedup of EMT simulations by using an integration scheme enriched with a predictive Fourier coefficients estimator, in: ISGT Europe 2018 - IEEE PES Innovative Smart Grid Technologies Conference Europe, Sarajevo, Bosnia and Herzegovina, October 2018.

    https://hal.inria.fr/hal-01944375

Conferences without Proceedings

  • 35B. Hamlat, J. Erhel, A. Michel, T. Faney.

    Discontinuous kinetics models for reactive transport problems, in: CMWR 2018 - 22e Conférence "Computational Methods in Water Resources", Saint-Malo, France, June 2018.

    https://hal.inria.fr/hal-01944263
  • 36C. Herzet, M. Diallo, P. Héas.

    Beyond Petrov-Galerkin projection by using “multi-space” priors, in: MoRePas 2018 - Model Reduction for Parametrized Systems IV, Nantes, France, April 2018.

    https://hal.inria.fr/hal-01937876
  • 37G. Pichot, P. Laug, J. Erhel, R. Le Goc, C. DARCEL, P. Davy, J.-R. De Dreuzy.

    Simulations in large tridimensional Discrete Fracture Networks (DFN): II. Flow simulations, in: MASCOT 2018 -15th IMACS/ISGG meeting on applied scientific computing and tools, Rome, Italy, October 2018.

    https://hal.inria.fr/hal-01896900
  • 38V. Resseguier, E. Mémin, B. Chapron.

    Uncertainty quantification and ensemble forecast in coarse-grid or dimensionally-reduced computational fluid dynamics, in: ECCM - ECFD 2018 - 6th European Conference on Computational Mechanics - 7th European Conference on Computational Fluid Dynamics, Glasgow, United Kingdom, June 2018, pp. 1-41.

    https://hal.archives-ouvertes.fr/hal-01891183
  • 39R. Schuster, D. Heitz, P. Georgeault, E. Mémin.

    On-site airflow measurement of a laboratory fume hood using customized large-scale image-based velocimetry, in: Roomvent & Ventilation 2018, Espoo, Finland, June 2018.

    https://hal.archives-ouvertes.fr/hal-01957995
  • 40R. Schuster, D. Heitz, E. Mémin.

    Motion Estimation Under Location Uncertainty, Application To Large-Scale Characterization Of A Mixing Layer, in: 19th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, Portugal, July 2018.

    https://hal.archives-ouvertes.fr/hal-01957938
  • 41G. TISSOT, G. Gabard.

    Shape optimisation for acoustic liners design, in: CFA'18 - 14ème Congrès Français d'acoustique, Le Havre, France, April 2018.

    https://hal.inria.fr/hal-01959233
  • 42G. TISSOT, M. Zhang, F. C. Lajús, A. Cavalieri, P. Jordan, T. Colonius.

    Identification by data assimilation of the sensitivity of wavepackets in jets to non-linear effects, in: Colloque National d'Assimilation de données, Rennes, France, September 2018.

    https://hal.inria.fr/hal-01959243
  • 43Y. Yang, D. Heitz, E. Mémin.

    An ensemble filter estimation scheme for Lagrangian trajectory reconstruction, in: Congrès Francophone de Techniques Laser, CFTL 2018, Dourdan, France, September 2018.

    https://hal.archives-ouvertes.fr/hal-01958306

Other Publications

  • 44W. Bauer, F. Gay-Balmaz.

    Variational integrators for soundproof models on arbitrary triangular C-grids, January 2019, working paper or preprint.

    https://hal.inria.fr/hal-01970335
  • 45P. Chandramouli.

    4D Variational Data Assimilation with Incompact3d using Large Eddy Models , March 2018, Incompact3d Meeting 2018.

    https://hal.inria.fr/hal-01764622
  • 46C. Eldred, W. Bauer.

    Variational and Hamiltonian Formulations of Geophysical Fluids using Split Exterior Calculus, December 2018, working paper or preprint.

    https://hal.inria.fr/hal-01895935
  • 47R. Lewandowski, B. Pinier, E. Mémin, P. Chandramouli.

    Testing a one-closure equation turbulence model in neutral boundary layers, September 2018, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01875464
  • 48G. Pichot, S. Legrand, J. Erhel, M. Oumouni.

    GENFIELD: A parallel software for the generation of stationary Gaussian random fields, May 2018, InterPore 2018 - 10th Annual Meeting and Jubilee, Poster.

    https://hal.inria.fr/hal-01960444
  • 49B. Pinier, E. Mémin, S. Laizet, R. Lewandowski.

    A stochastic flow model to predict the mean velocity in wall bounded flows, December 2018, working paper or preprint.

    https://hal.inria.fr/hal-01947662
References in notes
  • 50R. Adrian.

    Particle imaging techniques for experimental fluid mechanics, in: Annal Rev. Fluid Mech., 1991, vol. 23, pp. 261-304.
  • 51T. Bewley.

    Flow control: new challenges for a new Renaissance, in: Progress in Aerospace Sciences, 2001, vol. 37, pp. 21–58.
  • 52S. Beyou, A. Cuzol, S. Gorthi, E. Mémin.

    Weighted Ensemble Transform Kalman Filter for Image Assimilation, in: TellusA, January 2013, vol. 65, no 18803.
  • 53S. Cai, E. Mémin, P. Dérian, C. Xu.

    Motion Estimation under Location Uncertainty for Turbulent Fluid Flow, in: Exp. in Fluids, 2017, vol. 59, no 8.
  • 54H. Choi, P. Moin, J. Kim.

    Direct numerical simulation of turbulent flow over riblets, in: Journal of Fluid Mechanics, 1993, vol. 255, pp. 503–539.
  • 55T. Corpetti, E. Mémin.

    Stochastic Uncertainty Models for the Luminance Consistency Assumption, in: IEEE Trans. Image Processing, 2012, vol. 21, no 2, pp. 481–493.
  • 56G. Evensen.

    Sequential data assimilation with a non linear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, in: J. Geophys. Res., 1994, vol. 99 (C5), no 10, pp. 143–162.
  • 57J. Favier.

    Contrôle d'écoulements : approche expérimentale et modélisation de dimension réduite, Institut National Polytechnique de Toulouse, 2007.
  • 58J. Favier, A. Kourta, G. Leplat.

    Control of flow separation on a wing profile using PIV measurements and POD analysis, in: IUTAM Symposium on Flow Control and MEMS, London, UK, September 19-22, 2006.
  • 59N. Gordon, D. Salmond, A. Smith.

    Novel approach to non-linear/non-Gaussian Bayesian state estimation, in: IEEE Processing-F, April 1993, vol. 140, no 2.
  • 60A. Guégan, P. Schmid, P. Huerre.

    Optimal energy growth and optimal control in swept Hiemenz flow, in: J. Fluid Mech., 2006, vol. 566, pp. 11–45.
  • 61B. Horn, B. Schunck.

    Determining Optical Flow, in: Artificial Intelligence, August 1981, vol. 17, no 1-3, pp. 185–203.
  • 62F.-X. Le Dimet, O. Talagrand.

    Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects, in: Tellus, 1986, no 38A, pp. 97–110.
  • 63J. Lions.

    Optimal Control of Systems Governed by Partial Differential Equations, Springer-Verlag, 1971.
  • 64L. Mathelin, O. Le Maître.

    Robust control of uncertain cylinder wake flows based on robust reduced order models, in: Computer and Fluids, 2009, vol. 38, pp. 1168–1182.
  • 65B. Protas, J. Wesfreid.

    Drag force in the open-loop control of the cylinder wake in the laminar regime, in: Physics of Fluids, February 2002, vol. 14, no 2, pp. 810–826.
  • 66I. Wygnanski.

    Boundary layer flow control by periodic addition of momentum, in: 4th AIAA Shear Flow Control Conference, USA, June 29-July 2, 1997.


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