Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Major publications by the team in recent years
[1]
E. Abbate, A. Iollo, G. Puppo.
An all-speed relaxation scheme for gases and compressible materials, in: Journal of Computational Physics, 2017, vol. 351, pp. 1-24. [ DOI : 10.1016/j.jcp.2017.08.052 ]
https://hal.inria.fr/hal-01586863
[2]
M. Bergmann, C.-H. Bruneau, A. Iollo.
Enablers for robust POD models, in: Journal of Computational Physics, 2009, vol. 228, no 2, pp. 516–538.
[3]
M. Bergmann, J. Hovnanian, A. Iollo.
An accurate cartesian method for incompressible flows with moving boundaries, in: Communications in Computational Physics, 2014, vol. 15, no 5, pp. 1266–1290.
[4]
M. Bergmann, A. Iollo.
Modeling and simulation of fish-like swimming, in: Journal of Computational Physics, 2011, vol. 230, no 2, pp. 329 - 348.
[5]
M. Bergmann, A. Iollo.
Bioinspired swimming simulations, in: Journal of Computational Physics, 2016, vol. 323, pp. 310 - 321.
[6]
F. Bernard, A. Iollo, G. Puppo.
Accurate Asymptotic Preserving Boundary Conditions for Kinetic Equations on Cartesian Grids, in: Journal of Scientific Computing, 2015, 34 p.
[7]
A. Bouharguane, A. Iollo, L. Weynans.
Numerical solution of the Monge–Kantorovich problem by density lift-up continuation, in: ESAIM: Mathematical Modelling and Numerical Analysis, November 2015, vol. 49, no 6, 1577.
[8]
A. De Brauer, A. Iollo, T. Milcent.
A Cartesian Scheme for Compressible Multimaterial Models in 3D, in: Journal of Computational Physics, 2016, vol. 313, pp. 121-143.
[9]
F. Luddens, M. Bergmann, L. Weynans.
Enablers for high-order level set methods in fluid mechanics, in: International Journal for Numerical Methods in Fluids, December 2015, vol. 79, pp. 654-675.
[10]
T. Meuel, Y. L. Xiong, P. Fischer, C.-H. Bruneau, M. Bessafi, H. Kellay.
Intensity of vortices: from soap bubbles to hurricanes, in: Scientific Reports, December 2013, vol. 3, pp. 3455 (1-7).
[11]
Y. L. Xiong, C.-H. Bruneau, H. Kellay.
A numerical study of two dimensional flows past a bluff body for dilute polymer solutions, in: Journal of Non-Newtonian Fluid Mechanics, 2013, vol. 196, pp. 8-26.
Publications of the year

Doctoral Dissertations and Habilitation Theses

[12]
M. Braun.
Reduced Order Modelling and Uncertainty Propagation Applied to Water Distribution Networks, Université de Bordeaux, April 2019.
https://tel.archives-ouvertes.fr/tel-02278297

Articles in International Peer-Reviewed Journals

[13]
E. Abbate, A. Iollo, G. Puppo.
An asymptotic-preserving all-speed scheme for fluid dynamics and nonlinear elasticity, in: SIAM Journal on Scientific Computing, September 2019.
https://hal.archives-ouvertes.fr/hal-02373325
[14]
E. Abbate, A. Iollo, G. Puppo.
An implicit scheme for moving walls and multi-material interfaces in weakly compressible materials, in: Communications in Computational Physics, January 2020.
https://hal.archives-ouvertes.fr/hal-02373329
[15]
S. Avgerinos, F. Bernard, A. Iollo, G. Russo.
Linearly implicit all Mach number shock capturing schemes for the Euler equations, in: Journal of Computational Physics, 2019. [ DOI : 10.1016/j.jcp.2019.04.020 ]
https://hal.inria.fr/hal-02419411
[16]
F. Bernard, A. Iollo, G. Puppo.
BGK Polyatomic Model for Rarefied Flows, in: Journal of Scientific Computing, March 2019, vol. 78, no 3, pp. 1893-1916. [ DOI : 10.1007/s10915-018-0864-x ]
https://hal.inria.fr/hal-02419447
[17]
M. G. Carlino, P. Ricka, M. S. Phan, S. Bertoluzza, M. Pennacchio, G. Patanè, M. Spagnuolo.
Geometry description and mesh construction from medical imaging, in: ESAIM: Proceedings and Surveys, 2019, vol. 2019, pp. 1 - 10, forthcoming.
https://hal.inria.fr/hal-02072342
[18]
A. Ferrero, A. Iollo, F. Larocca.
Reduced order modelling for turbomachinery shape design, in: International Journal of Computational Fluid Dynamics, November 2019, pp. 1-12. [ DOI : 10.1080/10618562.2019.1691722 ]
https://hal.inria.fr/hal-02403455
[19]
M. Jedouaa, C.-H. Bruneau, E. Maitre.
An efficient interface capturing method for a large collection of interacting bodies immersed in a fluid, in: Journal of Computational Physics, February 2019, vol. 378, pp. 143-177. [ DOI : 10.1016/j.jcp.2018.11.006 ]
https://hal.archives-ouvertes.fr/hal-01236468
[20]
T. Taddei.
An offline/online procedure for dual norm calculations of parameterized functionals: empirical quadrature and empirical test spaces, in: Advances in Computational Mathematics, September 2019. [ DOI : 10.1007/s10444-019-09721-w ]
https://hal.archives-ouvertes.fr/hal-02369312

Invited Conferences

[21]
M. Bergmann, A. Iollo.
Sampling and clustering on the POD-Grassmann manifold, in: CSE19 - SIAM Conference on Computational Science and Engineering, Spokane, United States, February 2019.
https://hal.inria.fr/hal-02424383
[22]
M. Bergmann, A. Iollo, S. Riffaud, A. Ferrero, A. Scardigli, E. Lombardi, H. Telib.
Reduced-Order Models: Convergence Between Data and Simulation, in: CSE19 - SIAM Conference on Computational Science and Engineering, Spokane, United States, February 2019.
https://hal.inria.fr/hal-02424387

International Conferences with Proceedings

[23]
A. Ferrero, A. Iollo, F. Larocca.
RANS closure approximation by artificialneural networks, in: ETC 2019 - 13th European Turbomachinery Conference on Turbomachinery Fluid Dynamics and Thermodynamics, Lausanne, Switzerland, April 2019.
https://hal.inria.fr/hal-02403432

Conferences without Proceedings

[24]
M. Bergmann, A. Fondanèche, A. Iollo.
AMR enabled quadtree discretization of incompressible Navier-Stokes equations with moving boundaries, in: International Congress on Industrial and Applied Mathematics (ICIAM) 2019, Valencia, Spain, July 2019.
https://hal.inria.fr/hal-02421748

Other Publications

[25]
A. Barone, M. G. Carlino, A. Gizzi, S. Perotto, A. Veneziani.
Efficient Estimation of Cardiac Conductivities: a Proper Generalized Decomposition Approach, December 2019, working paper or preprint.
https://hal.inria.fr/hal-02417508
[26]
T. Taddei.
A registration method for model order reduction: data compression and geometry reduction, January 2020, https://arxiv.org/abs/1906.11008 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02430234
References in notes
[27]
P. Angot, C.-H. Bruneau, P. Fabrie.
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[28]
S. Bagheri.
Koopman-mode decomposition of the cylinder wake, in: Journal of Fluid Mechanics, 2013.
[29]
P. Barton, D. Drikakis, E. Romenski, V. Titarev.
Exact and approximate solutions of Riemann problems in non-linear elasticity, in: Journal of Computational Physics, 2009, vol. 228, no 18, pp. 7046-7068.
[30]
M. Bergmann, C.-H. Bruneau, A. Iollo.
Enablers for robust POD models, in: Journal of Computational Physics, 2009, vol. 228, no 2, pp. 516–538.
[31]
M. Bergmann, A. Ferrero, A. Iollo, E. Lombardi, A. Scardigli, H. Telib.
A zonal Galerkin-free POD model for incompressible flows, in: Journal of Computational Physics, 2018, vol. 352, pp. 301–325.
[32]
A. Bouharguane, A. Iollo, L. Weynans.
Numerical solution of the Monge-Kantorovich problem by density lift-up continuation, in: ESAIM: M2AN, 2015, vol. 49, no 6, pp. 1577-1592.
[33]
A. D. Brauer, A. Iollo, T. Milcent.
A Cartesian scheme for compressible multimaterial models in 3D, in: Journal of Computational Physics, 2016, vol. 313, pp. 121-143. [ DOI : 10.1016/j.jcp.2016.02.032 ]
http://www.sciencedirect.com/science/article/pii/S0021999116000966
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B. Cantwell, D. Coles.
An experimental study of entrainment and transport in the turbulent near wake of a circular cylinder, in: Journal of fluid mechanics, 1983, vol. 136, pp. 321–374.
[35]
L. Cordier, M. Bergmann.
Two typical applications of POD: coherent structures eduction and reduced order modelling, in: Lecture series 2002-04 on post-processing of experimental and numerical data, Von Kármán Institute for Fluid Dynamics, 2002.
[36]
S. Gavrilyuk, N. Favrie, R. Saurel.
Modelling wave dynamics of compressible elastic materials, in: Journal of Computational Physics, 2008, vol. 227, no 5, pp. 2941-2969.
[37]
S. Godunov.
Elements of continuum mechanics, Nauka Moscow, 1978.
[38]
X. Jin.
Construction d'une chaîne d'outils numériques pour la conception aérodynamique de pales d'éoliennes, Université de Bordeaux, 2014.
[39]
B. Lambert, L. Weynans, M. Bergmann.
Local lubrication model for spherical particles within incompressible Navier-Stokes flows, in: Phys. Rev. E, Mar 2018, vol. 97, 033313 p.
https://link.aps.org/doi/10.1103/PhysRevE.97.033313
[40]
F. Luddens, M. Bergmann, L. Weynans.
Enablers for high-order level set methods in fluid mechanics, in: International Journal for Numerical Methods in Fluids, December 2015, vol. 79, pp. 654-675. [ DOI : 10.1002/fld.4070 ]
[41]
J. Lumley, A. Yaglom, V. Tatarski.
Atmospheric turbulence and wave propagation, in: The structure of inhomogeneous turbulence, AM Yaglom & VI Tatarski, 1967, pp. 166–178.
[42]
I. Mezić.
Spectral Properties of Dynamical Systems, Model Reduction and Decompositions, in: Nonlinear Dynamics, 2005, vol. 41, no 1. [ DOI : 10.1007/s11071-005-2824-x ]
[43]
G. Miller, P. Colella.
A Conservative Three-Dimensional Eulerian Method for Coupled Solid-Fluid Shock Capturing, in: Journal of Computational Physics, 2002, vol. 183, no 1, pp. 26-82.
[44]
R. Mittal, G. Iaccarino.
Immersed boundary methods, in: Annu. Rev. Fluid Mech., 2005, vol. 37, pp. 239-261.
[45]
P. J. Schmid.
Dynamic mode decomposition of numerical and experimental data, in: Journal of Fluid Mechanics, 008 2010, vol. 656, pp. 5-28. [ DOI : 10.1017/S0022112010001217 ]
[46]
J. A. Sethian.
Level Set Methods and Fast Marching Methods, Cambridge University Press, Cambridge, UK, 1999.
[47]
L. Sirovich.
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[48]
T. Taddei.
A registration method for model order reduction: data compression and geometry reduction, in: arXiv preprint arXiv:1906.11008, 2019.
[49]
K. Taira, T. Colonius.
The immersed boundary method: a projection approach, in: Journal of Computational Physics, 2007, vol. 225, no 2, pp. 2118-2137.
[50]
C. Villani.
Topics in optimal transportation, 1st, American Mathematical Society, 2003.