Search Results - "Mathelin, L."

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  1. 1

    Control of chaotic systems by deep reinforcement learning by Bucci, M A, Semeraro, O, Allauzen, A, Wisniewski, G, Cordier, L, Mathelin, L

    “…Deep reinforcement learning (DRL) is applied to control a nonlinear, chaotic system governed by the one-dimensional Kuramoto-Sivashinsky (KS) equation. DRL…”
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    Journal Article
  2. 2

    Vortex-induced vibrations and waves under shear flow with a wake oscillator model by Mathelin, L., de Langre, E.

    Published in European journal of mechanics, B, Fluids (01-07-2005)
    “…This paper addresses the interaction of a slender structure and a sheared incident cross-flow. The oscillating wake of the structure is modeled using a…”
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    Journal Article
  3. 3

    Minimum state for high Reynolds and Péclet number turbulent flows by Zhou, Ye, Buckingham, A.C., Bataille, F., Mathelin, L.

    Published in Physics letters. A (20-07-2009)
    “…Direct numerical simulations (DNS) or experiments for the very high Reynolds ( Re) and Péclet ( Pe) number flows commonly exceed the resolution possible even…”
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    Journal Article
  4. 4

    Equation-free model reduction for complex dynamical systems by Le Maître, O. P., Mathelin, L.

    “…This paper presents a reduced model strategy for simulation of complex physical systems. A classical reduced basis is first constructed relying on proper…”
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    Journal Article Conference Proceeding
  5. 5

    Closed-loop fluid flow control using a low dimensional model by Mathelin, L., Abbas-Turki, M., Pastur, L., Abou-Kandil, H.

    Published in Mathematical and computer modelling (01-10-2010)
    “…This paper is devoted to the problem of defining a control strategy to minimize the drag of a bluff body in a 2-D cross-flow. A reduced model is obtained using…”
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    Journal Article Conference Proceeding
  6. 6

    Robust control of uncertain cylinder wake flows based on robust reduced order models by Mathelin, L., Le Maıˆtre, O.P.

    Published in Computers & fluids (01-06-2009)
    “…A technique for the construction of robust orthogonal flow bases, to be used for model reduction and flow control, is proposed. The construction accounts for…”
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    Journal Article
  7. 7
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    A Compressed Sensing Approach for Partial Differential Equations with Random Input Data by Mathelin, L., Gallivan, K. A.

    Published in Communications in computational physics (01-10-2012)
    “…In this paper, a novel approach for quantifying the parametric uncertainty associated with a stochastic problem output is presented. As with Monte-Carlo and…”
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    Journal Article
  9. 9

    Near wake of a circular cylinder submitted to blowing – I: Boundary layers evolution by Mathelin, L, Bataille, F, Lallemand, A

    “…The dynamical and thermal behavior of the flow around a circular cylinder submitted to blowing is experimentally investigated. The blowing is applied through…”
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    Journal Article
  10. 10

    Near wake of a circular cylinder submitted to blowing – II: Impact on the dynamics by Mathelin, L., Bataille, F., Lallemand, A.

    “…The near wake of a porous circular cylinder in cross-flow submitted to blowing through its whole surface is experimentally studied. The blowing impact on the…”
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    Journal Article
  11. 11

    Flow around a circular cylinder with non-isothermal blowing by Mathelin, L., Bataille, F., Lallemand, A.

    Published in Experimental thermal and fluid science (01-06-2002)
    “…The dynamical and thermal behavior of the flow around a circular cylinder submitted to non-isothermal (cold) blowing is experimentally investigated using…”
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    Journal Article Conference Proceeding
  12. 12

    Comparison between two models of cooling surfaces using blowing by MATHELIN, L., BATAILLE, F., LALLEMAND, A.

    Published in Annals of the New York Academy of Sciences (01-05-2001)
    “…: To protect surfaces against high temperatures, the blowing through a porous material is studied. The geometry is that of a circular cylinder in cross‐flow…”
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    Journal Article
  13. 13

    Control of chaotic systems by deep reinforcement learning by Bucci, M. A., Semeraro, O., Allauzen, A., Wisniewski, G., Cordier, L., Mathelin, L.

    “…Deep reinforcement learning (DRL) is applied to control a nonlinear, chaotic system governed by the one-dimensional Kuramoto–Sivashinsky (KS) equation. DRL…”
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    Journal Article
  14. 14
  15. 15

    Stochastic data assimilation of the random shallow water model loads with uncertain experimental measurements by Mathelin, Lionel, Desceliers, Christophe, Hussaini, M. Yousuff

    Published in Computational mechanics (01-06-2011)
    “…This paper is concerned with the estimation of a parametric probabilistic model of the random displacement source field at the origin of seaquakes in a given…”
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    Journal Article
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    Blowing models for cooling surfaces by Mathelin, Lionel, Bataille, Françoise, Lallemand, André

    Published in International journal of thermal sciences (01-11-2001)
    “…To study the cooling of surfaces exposed to high temperature stress and heat flux, the blowing, or transpiration, technique is numerically investigated in the…”
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    Journal Article