Team, Visitors, External Collaborators
Overall Objectives
Research Program
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
XML PDF e-pub
PDF e-Pub


Bibliography

Major publications by the team in recent years
[1]
K. Burrage, J. Erhel.
On the performance of various adaptive preconditioned GMRES, in: Numerical Linear Algebra with Applications, 1998, vol. 5, pp. 101-121.
[2]
J. 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.
[3]
T. Chacón-Rebollo, R. Lewandowski.
Mathematical and Numerical Foundations of Turbulence Models and Applications, Modeling and Simulation in Science, Engineering and Technology, Birkhäuser Basel, 2014.
[4]
T. 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.
[5]
J.-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.
[6]
A. 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
[7]
D. 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.
[8]
H. 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.
[9]
E. 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
[10]
N. Nassif, J. Erhel, B. Philippe.
Introduction to computational linear Algebra, CRC Press, 2015.
[11]
N. 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
[12]
V. 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.
[13]
V. 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
[14]
V. 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
[15]
V. 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.
[16]
Y. 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

[17]
B. Pinier.
Application of the similartity theory of turbulence to the ocean-atmosphere interface, Université Rennes 1, February 2019.
https://tel.archives-ouvertes.fr/tel-02057601

Articles in International Peer-Reviewed Journals

[18]
L. C. Berselli, T. Iliescu, B. Koc, R. Lewandowski.
Long-Time Reynolds Averaging of Reduced Order Models for Fluid Flows: Preliminary Results, in: Mathematics in Engineering, 2020, vol. 2, no 1, pp. 1-25, https://arxiv.org/abs/1901.04903 - 20 pages, 1 figure, 9 tables. [ DOI : 10.3934/mine.2020001 ]
https://hal.archives-ouvertes.fr/hal-01979939
[19]
L. C. Berselli, R. Lewandowski.
On the Reynolds time-averaged equations and the long-time behavior of Leray-Hopf weak solutions, with applications to ensemble averages, in: Nonlinearity, October 2019, vol. 32, no 11, pp. 4579-4608, https://arxiv.org/abs/1801.08721 - 33 pages. [ DOI : 10.1088/1361-6544/ab32bc ]
https://hal.archives-ouvertes.fr/hal-01695374
[20]
R. Brecht, W. Bauer, A. Bihlo, F. Gay-Balmaz, S. MacLachlan.
Variational integrator for the rotating shallow‐water equations on the sphere, in: Quarterly Journal of the Royal Meteorological Society, March 2019, vol. 145, no 720, pp. 1070-1088, https://arxiv.org/abs/1808.10507. [ DOI : 10.1002/qj.3477 ]
https://hal.archives-ouvertes.fr/hal-02414164
[21]
P. Chandramouli, E. Mémin, D. Heitz, L. Fiabane.
Fast 3D flow reconstructions from 2D cross-plane observations, in: Experiments in Fluids, February 2019, pp. 1-27. [ DOI : 10.1007/s00348-018-2674-1 ]
https://hal.archives-ouvertes.fr/hal-02012453
[22]
J. Erhel, T. Migot.
Characterizations of Solutions in Geochemistry: Existence, Uniqueness and Precipitation Diagram, in: Computational Geosciences, 2019, vol. 23, no 3, pp. 523-535. [ DOI : 10.1007/s10596-018-9800-2 ]
https://hal.inria.fr/hal-01584490
[23]
M. 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
[24]
R. Lewandowski.
Navier-Stokes equations in the whole space with an eddy viscosity, in: Journal of Mathematical Analysis and Applications, 2019, vol. 478, no 2, pp. 698-742, https://arxiv.org/abs/1705.11043. [ DOI : 10.1016/j.jmaa.2019.05.051 ]
https://hal.archives-ouvertes.fr/hal-01531260
[25]
B. Pinier, E. Mémin, S. Laizet, R. Lewandowski.
A stochastic flow approach to model the mean velocity profile of wall-bounded flows, in: Physical Review E , 2019, vol. 99, no 6, 063101 p, 27 pages. [ DOI : 10.1103/PhysRevE.99.063101 ]
https://hal.inria.fr/hal-01947662
[26]
R. Schuster, D. Heitz, P. Georgeault, E. Mémin.
On-site airflow measurement of a laboratory fume hood using customized large-scale image-based velocimetry, in: Indoor and Built Environment, July 2019, pp. 1-10. [ DOI : 10.1177/1420326X19865928 ]
https://hal.archives-ouvertes.fr/hal-02419135
[27]
G. Tissot, R. Billard, G. Gabard.
Optimal cavity shape design for acoustic liners using Helmholtz equation with visco-thermal losses, in: Journal of Computational Physics, 2020, vol. 402, 109048 p. [ DOI : 10.1016/j.jcp.2019.109048 ]
https://hal.inria.fr/hal-02335784
[28]
G. Wimmer, C. J. Cotter, W. Bauer.
Energy conserving upwinded compatible finite element schemes for the rotating shallow water equations, in: Journal of Computational Physics, January 2020, vol. 401, 109016 p, https://arxiv.org/abs/1901.06349. [ DOI : 10.1016/j.jcp.2019.109016 ]
https://hal.archives-ouvertes.fr/hal-02419835
[29]
Y. Yang, E. Mémin.
Estimation of physical parameters under location uncertainty using an Ensemble2-Expectation-Maximization algorithm, in: Quarterly Journal of the Royal Meteorological Society, January 2019, vol. 145, no 719, pp. 418-433. [ DOI : 10.1002/qj.3438 ]
https://hal.inria.fr/hal-01944730

Articles in National Peer-Reviewed Journals

[30]
R. Schuster, D. Heitz, E. Mémin.
Visualisation et mesure du flux d'aspiration d'une sorbonne, in: Salles Propres, May 2019, no 119, pp. 46-50.
https://hal.archives-ouvertes.fr/hal-02418674

Invited Conferences

[31]
J. Erhel.
Numerical tools for simulating large scale reactive transport systems, in: 2019 - Parallel Solution Methods for Systems Arising from PDEs, Marseille, France, September 2019.
https://hal.inria.fr/hal-02404231
[32]
A. Michel, B. Hamlat, J. Erhel, T. Faney.
Multiphase chemical kinetics modeling for aqueous-minerals reactive systems, in: SITRAM 2019 - Advances in the SImulation of reactive flow and TRAnsport in porous Media, Pau, France, December 2019, 1 p.
https://hal.inria.fr/hal-02404259

International Conferences with Proceedings

[33]
R. Billard, G. Tissot, G. Gabard, M. Versaevel, J.-P. Groby.
A mode-matching model for the impedance of perforated plate liners, in: Aeroacoustics 2019 - 25th AIAA/CEAS Aeroacoustics Conference, Delft, Netherlands, American Institute of Aeronautics and Astronautics, May 2019, pp. 1-12. [ DOI : 10.2514/6.2019-2702 ]
https://hal.inria.fr/hal-02335914
[34]
V. Resseguier, M. Ladvig, A. M. Picard, E. Mémin, R. Bouaida, B. Chapron.
Quantifying the uncertainties introduced by dimension reduction in fluid dynamics, in: UNCECOMP 2019 - 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Hersonissos, Greece, June 2019, pp. 1-21.
https://hal.inria.fr/hal-02165809
[35]
G. Tissot, G. Gabard.
Optimal cavity shape design for acoustic liners using Helmholtz equation with visco-thermal losses, in: Aeroacoustics 2019 - 25th AIAA/CEAS Aeroacoustics Conference, Delft, Netherlands, American Institute of Aeronautics and Astronautics, May 2019, pp. 1-11. [ DOI : 10.2514/6.2019-2471 ]
https://hal.inria.fr/hal-02335834

Conferences without Proceedings

[36]
J. Carlier, C. Collewet.
Une représentation d'état pour la commande en boucle fermée des écoulements cisaillés, in: CFM 2019 - 24e Congrès Français de Mécanique, Brest, France, August 2019, pp. 1-17.
https://hal.inria.fr/hal-02283161
[37]
C. Collewet, J. Carlier.
Commande en boucle fermée d'une couche de mélange soumise à des perturbations exogènes, in: CFM 2019 - 24e Congrès Français de Mécanique, Brest, France, August 2019, pp. 1-15.
https://hal.archives-ouvertes.fr/hal-02189111
[38]
J. Erhel, T. Migot.
Optimization problems in geochemistry, in: ETNA 2019 - 25th Recent Advances in Scientific Computation, Santa Margherita di Pula, Italy, May 2019.
https://hal.inria.fr/hal-02404247
[39]
B. Hamlat, T. Migot, J. Erhel, A. Michel.
A Differential Inclusion Approach to Mineral Precipitation-Dissolution Reactions in Geochemistry, in: WCGO 2019 - 6th World Congress on Global Optimization, Rennes, France, July 2019.
https://hal.inria.fr/hal-02404438
[40]
S. Herpin, D. Heitz, P. Loisel, P. Georgeault.
Large-scale Stereo-PIV measurement of the flow inside an urban street canyon in outdoor conditions, in: ISPIV2019 - 13th International Symposium on Particle Image Velocimetry, Munich, Germany, July 2019, pp. 1-9.
https://hal.archives-ouvertes.fr/hal-02330267
[41]
V. Resseguier, M. Ladvig, A. M. Picard, E. Mémin, R. Bouaida, B. Chapron.
Stochastic reduced order model for real-time unsteady flow estimation, in: WESC 2019 - Web Wind Energy Science Conference, Cork, Ireland, June 2019, pp. 1-23.
https://hal.archives-ouvertes.fr/hal-02160160
[42]
V. Resseguier, L. Li, G. Jouan, P. Derian, E. Mémin, B. Chapron.
Dynamics under location uncertainty and other energy-related stochastic subgrid schemes, in: 2019 - Workshop Conservation Principles, Data and Uncertainty in Atmosphere-Ocean Modelling, Potsdam, Germany, April 2019, pp. 1-70.
https://hal.archives-ouvertes.fr/hal-02103233
[43]
Best Paper
R. Schuster, D. Heitz, E. Mémin.
Visualisation et mesure du flux d'aspiration d'une Sorbonne, in: ContaminExpert 2019, Paris, France, March 2019, pp. 1-8.
https://hal.archives-ouvertes.fr/hal-02330348
[44]
Y. Yang, D. Heitz, E. Mémin.
Lagrangian Particle Image Velocimetry, in: ISPIV2019 - 13th International Symposium on Particle Image Velocimetry, Munich, Germany, July 2019, pp. 1-9.
https://hal.archives-ouvertes.fr/hal-02330256

Scientific Books (or Scientific Book chapters)

[45]
W. Bauer, F. Gay-Balmaz.
Variational Discretization Framework for Geophysical Flow Models, in: GSI 2019: Geometric Science of Information, Springer, August 2019, pp. 523-531. [ DOI : 10.1007/978-3-030-26980-7_54 ]
https://hal.archives-ouvertes.fr/hal-02419889

Scientific Popularization

[46]
J. Erhel.
Les pics d'épidémie mis en équations, in: Les amphis lycéens de l'université de Rennes 1, Rennes, France, 2019.
https://hal.inria.fr/hal-02404288

Other Publications

[47]
C. Amrouche, L. C. Berselli, R. Lewandowski, D. Duong Nguyen.
Turbulent flows as generalized Kelvin-Voigt materials: modeling and analysis, August 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02267193
[48]
W. Bauer, J. Behrens, C. J. Cotter.
A structure-preserving approximation of the discrete split rotating shallow water equations, December 2019, https://arxiv.org/abs/1912.10335 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02423620
[49]
W. Bauer, J. Behrens, C. J. Cotter.
A structure-preserving split finite element discretization of the rotating shallow water equations in split Hamiltonian form, February 2019, working paper or preprint.
https://hal.inria.fr/hal-02020379
[50]
W. Bauer, P. Chandramouli, B. Chapron, L. Li, E. Mémin.
Deciphering the role of small-scale inhomogeneity on geophysical flow structuration: a stochastic approach, December 2019, working paper or preprint.
https://hal.inria.fr/hal-02398521
[51]
W. 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
[52]
C. Cintolesi, E. Mémin.
Pseudo-stochastic simulation of turbulent channel flows with near-wall modelling, February 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02044818
[53]
C. Cintolesi, E. Mémin.
Stochastic modelling of turbulent flows for numerical simulations, February 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02044809
[54]
J. Erhel, M. Oumouni, G. Pichot, F. Schoefs.
Analysis of continuous spectral method for sampling stationary Gaussian random fields, April 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02109037
[55]
R. Lewandowski.
On a one dimensional turbulent boundary layer model, November 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02134034
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Motion Estimation under Location Uncertainty for Turbulent Fluid Flow, in: Exp. in Fluids, 2017, vol. 59, no 8.
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Stochastic Uncertainty Models for the Luminance Consistency Assumption, in: IEEE Trans. Image Processing, 2012, vol. 21, no 2, pp. 481–493.
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