Search Results - "Le Maître, O P"

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  1. 1

    On the sensitivity of structural turbulence uncertainty estimates to time and space resolution by Gori, G., Le Maître, O.P., Congedo, P.M.

    Published in Computers & fluids (30-10-2021)
    “…This paper presents a sensitivity analysis of structural turbulence uncertainty estimates to time and space resolution of numerical computations. Turbulence…”
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    Journal Article
  2. 2

    Multi-resolution analysis of Wiener-type uncertainty propagation schemes by Le Maı̂tre, O.P., Najm, H.N., Ghanem, R.G., Knio, O.M.

    Published in Journal of computational physics (01-07-2004)
    “…A multi-resolution analysis (MRA) is applied to an uncertainty propagation scheme based on a generalized polynomial chaos (PC) representation. The MRA relies…”
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    Journal Article
  3. 3

    Uncertainty quantification in chemical systems by Najm, H. N., Debusschere, B. J., Marzouk, Y. M., Widmer, S., Le Maître, O. P.

    “…We demonstrate the use of multiwavelet spectral polynomial chaos techniques for uncertainty quantification in non‐isothermal ignition of a methane–air system…”
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    Journal Article
  4. 4

    PC analysis of stochastic differential equations driven by Wiener noise by Le Maître, O.P., Knio, O.M.

    Published in Reliability engineering & system safety (01-03-2015)
    “…A polynomial chaos (PC) analysis with stochastic expansion coefficients is proposed for stochastic differential equations driven by additive or multiplicative…”
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    Journal Article
  5. 5

    Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification by Winokur, J., Kim, D., Bisetti, F., Le Maître, O. P., Knio, O. M.

    Published in Journal of scientific computing (01-08-2016)
    “…We investigate two methods to build a polynomial approximation of a model output depending on some parameters. The two approaches are based on pseudo-spectral…”
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    Journal Article
  6. 6

    Combining ensemble Kalman filter and multiresolution analysis for efficient assimilation into adaptive mesh models by Siripatana, A., Giraldi, L., Le Maître, O. P., Knio, O. M., Hoteit, I.

    Published in Computational geosciences (01-12-2019)
    “…A new approach is developed for data assimilation into adaptive mesh models with the ensemble Kalman filter (EnKF). The EnKF is combined with a wavelet-based…”
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    Journal Article
  7. 7

    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
  8. 8

    Polynomial Chaos expansion for subsurface flows with uncertain soil parameters by Sochala, P., Le Maître, O.P.

    Published in Advances in water resources (01-12-2013)
    “…•We consider 3 models of subsurface flows with random parameters.•Polynomial Chaos methods are used to propagate parametric uncertainties.•Global sensitivity…”
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    Journal Article
  9. 9

    Spectral stochastic uncertainty quantification in chemical systems by Reagan, M T, Najm 4, H N, Debusschere, B J, Le Maître, O P, Knio, O M, Ghanem, R G

    Published in Combustion theory and modelling (01-09-2004)
    “…Uncertainty quantification (UQ) in the computational modelling of physical systems is important for scientific investigation, engineering design, and model…”
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    Journal Article
  10. 10

    Bayesian inference of thermodynamic models from vapor flow experiments by Gori, G., Zocca, M., Guardone, A., Le Maître, O.P., Congedo, P.M.

    Published in Computers & fluids (15-06-2020)
    “…•Considered tests have limited potential w.r.t. the inference of model coefficients.•Measuring temperature improves the posterior knowledge of some…”
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    Journal Article
  11. 11

    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
  12. 12

    Particle simulation of space–fractional diffusion equations by Lucchesi, M., Allouch, S., Le Maître, O. P., Mustapha, K. A., Knio, O. M.

    Published in Computational particle mechanics (01-05-2020)
    “…This work explores different particle-based approaches for the simulation of space–fractional diffusion equations in unbounded domains. We rely on smooth…”
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    Journal Article
  13. 13

    Numerical study of liquid inclusion oscillations inside a closed 1D microchannel filled with gas by Duluc, M.-C., Le Maître, O. P., Daru, V., Le Quéré, P.

    Published in Microfluidics and nanofluidics (01-02-2009)
    “…The motion of a liquid inclusion inside a 1D microchannel filled with gas and externally heated is simulated. An incompressible formulation is used for the…”
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    Journal Article
  14. 14

    Estimation of the flutter derivatives of an NACA airfoil by means of Navier–Stokes simulation by Le Maı̂tre, O.P., Scanlan, R.H., Knio, O.M.

    Published in Journal of fluids and structures (2003)
    “…The paper presents a numerical determination of the aeroelastic characteristics of a two-dimensional airfoil. A numerical method is described for the…”
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    Journal Article
  15. 15

    A Newton–Galerkin Method for Fluid Flow Exhibiting Uncertain Periodic Dynamics by Schick, M., Heuveline, V., Le Maître, O. P.

    Published in SIAM review (01-01-2016)
    “…The determination of limit-cycles plays an important role in characterizing complex dynamical systems, such as unsteady fluid flows. In practice, dynamical…”
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    Journal Article
  16. 16

    A multigrid solver for two-dimensional stochastic diffusion equations by Le Maı̂tre, O.P., Knio, O.M., Debusschere, B.J., Najm, H.N., Ghanem, R.G.

    “…Steady and unsteady diffusion equations, with stochastic diffusivity coefficient and forcing term, are modeled in two dimensions by means of stochastic…”
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    Journal Article
  17. 17

    A Stochastic Projection Method for Fluid Flow: II. Random Process by Le Maı̂tre, Olivier P., Reagan, Matthew T., Najm, Habib N., Ghanem, Roger G., Knio, Omar M.

    Published in Journal of computational physics (01-09-2002)
    “…An uncertainty quantification scheme is developed for the simulation of stochastic thermofluid processes. The scheme relies on spectral representation of…”
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    Journal Article
  18. 18

    Uncertainty propagation using Wiener–Haar expansions by Le Maı̂tre, O.P., Knio, O.M., Najm, H.N., Ghanem, R.G.

    Published in Journal of computational physics (10-06-2004)
    “…An uncertainty quantification scheme is constructed based on generalized Polynomial Chaos (PC) representations. Two such representations are considered, based…”
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    Journal Article
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  20. 20

    Particle Simulation of Fractional Diffusion Equations by Allouch, S, Lucchesi, M, Maître, O. P. Le, Mustapha, K. A, Knio, O. M

    Published 12-07-2017
    “…This work explores different particle-based approaches to the simulation of one-dimensional fractional subdiffusion equations in unbounded domains. We rely on…”
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    Journal Article