Search Results - "Knio, Omar M."

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  1. 1

    Oil spill risk analysis for the NEOM shoreline by Mittal, H. V. R., Hammoud, Mohamad Abed El Rahman, Carrasco, Ana K., Hoteit, Ibrahim, Knio, Omar M.

    Published in Scientific reports (19-03-2024)
    “…A risk analysis is conducted considering an array of release sources located around the NEOM shoreline. The sources are selected close to the coast and in…”
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    Journal Article
  2. 2

    Sample average approximation for risk-averse problems: A virtual power plant scheduling application by Lima, Ricardo M., Conejo, Antonio J., Giraldi, Loïc, Le Maître, Olivier, Hoteit, Ibrahim, Knio, Omar M.

    Published in EURO journal on computational optimization (01-01-2021)
    “…•Efficient computational strategies for a sample average approximation are proposed.•A virtual power plant operation is modeled using stochastic programming…”
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  3. 3

    Global sensitivity analysis of n-butanol reaction kinetics using rate rules by Hantouche, Mireille, Sarathy, S. Mani, Knio, Omar M.

    Published in Combustion and flame (01-10-2018)
    “…We investigate the sensitivity of the ignition delay time, τign, of n-butanol to uncertainties in the rate-rule kinetic rate parameters, at various initial…”
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  4. 4

    Trajectory planning for autonomous underwater vehicles in the presence of obstacles and a nonlinear flow field using mixed integer nonlinear programming by Wang, Tong, Lima, Ricardo M., Giraldi, Loïc, Knio, Omar M.

    Published in Computers & operations research (01-01-2019)
    “…•The time-optimal trajectory planning for autonomous underwater vehicles is considered.•Detailed and simplified MINLP models considering obstacles and a flow…”
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  5. 5

    Erratum to “Regularity theory for time-fractional advection-diffusion-reaction equations” [Comput. Math. Appl. 79 (2020) 947–961] by McLean, William, Mustapha, Kassem, Ali, Raed, Knio, Omar M.

    “…In this note, we correct the statement of Theorem 12 from the paper in the title above (McLean et al., 2020) and fill some gaps in the proof…”
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  6. 6

    A tangent linear approximation of the ignition delay time. I: Sensitivity to rate parameters by Almohammadi, Saja, Hantouche, Mireille, Le Maître, Olivier P., Knio, Omar M.

    Published in Combustion and flame (01-08-2021)
    “…A tangent linear approximation is developed to estimate the sensitivity of the ignition delay time with respect to individual rate parameters in a detailed…”
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  7. 7

    A second-order accurate numerical scheme for a time-fractional Fokker–Planck equation by Mustapha, Kassem, Knio, Omar M, Le Maître, Olivier P

    Published in IMA journal of numerical analysis (03-08-2023)
    “…Abstract A second-order accurate time-stepping scheme for solving a time-fractional Fokker–Planck equation of order $\alpha \in (0, 1)$, with a general driving…”
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  8. 8

    A tangent linear approximation of the ignition delay time. II: Sensitivity to thermochemical parameters by Hantouche, Mireille, Almohammadi, Saja, Le Maître, Olivier P., Knio, Omar M.

    Published in Combustion and flame (01-01-2022)
    “…The tangent linear approximation (TLA) developed in Almohammadi et al. (Combust. Flame 230, 111426) is extended to estimate the sensitivity of the ignition…”
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  9. 9

    Risk-averse formulations and methods for a virtual power plant by Lima, Ricardo M., Conejo, Antonio J., Langodan, Sabique, Hoteit, Ibrahim, Knio, Omar M.

    Published in Computers & operations research (01-08-2018)
    “…•Risk-neutral and risk-averse stochastic programming formulations are considered.•Implementation of decomposition methods to handle the CVaR.•Wind ensembles…”
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  10. 10

    A generalized reduced model of uniform and self-propagating reactions in reactive nanolaminates by Alawieh, Leen, Weihs, Timothy P., Knio, Omar M.

    Published in Combustion and flame (01-09-2013)
    “…A multiscale inference analysis is conducted in order to infer intermixing rates prevailing during different reaction regimes in Ni/Al nanolaminates. The…”
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  11. 11

    Simulation of reactive nanolaminates using reduced models: I. Basic formulation by Salloum, Maher, Knio, Omar M.

    Published in Combustion and flame (01-02-2010)
    “…Development and testing are described of a reduced model for the simulation of transient reactions in Ni/Al nanolaminates. The model relies on a simplified…”
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  12. 12

    Simulation of reactive nanolaminates using reduced models: II. Normal propagation by Salloum, Maher, Knio, Omar M.

    Published in Combustion and flame (01-03-2010)
    “…Transient normal flame propagation in reactive Ni/Al multilayers is analyzed computationally. Two approaches are implemented, based on generalization of…”
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  13. 13

    Probabilistic modeling and global sensitivity analysis for CO2 storage in geological formations: a spectral approach by Saad, Bilal M., Alexanderian, Alen, Prudhomme, Serge, Knio, Omar M.

    Published in Applied Mathematical Modelling (01-01-2018)
    “…•Comprehensive analysis of impact of parametric uncertainties on simulation of CO2 storage in porous media is performed.•A non-isothermal two-phase…”
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  14. 14

    A simplified computational model of the oxidation of Zr/Al multilayers by Vohra, Manav, Weihs, Timothy P., Knio, Omar M.

    Published in Combustion and flame (01-01-2015)
    “…A computational model is developed to describe the oxidation of nanolaminates comprising Zr/Al bilayers. The model is developed in light of recent experimental…”
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  15. 15

    Simulation of reactive nanolaminates using reduced models: III. Ingredients for a general multidimensional formulation by Salloum, Maher, Knio, Omar M.

    Published in Combustion and flame (01-06-2010)
    “…A transient multidimensional reduced model is constructed for the simulation of reaction fronts in Ni/Al multilayers. The formulation is based on the…”
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  16. 16

    Uncertainty quantification and inference of Manning’s friction coefficients using DART buoy data during the Tōhoku tsunami by Sraj, Ihab, Mandli, Kyle T., Knio, Omar M., Dawson, Clint N., Hoteit, Ibrahim

    Published in Ocean modelling (Oxford) (01-11-2014)
    “…•We present an efficient approach for the inference of the Manning’s n coefficient.•We use Polynomial Chaos to build an inexpensive surrogate for the GeoClaw…”
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  17. 17

    Design analysis for optimal calibration of diffusivity in reactive multilayers by Vohra, Manav, Huan, Xun, Weihs, Timothy P., Knio, Omar M.

    Published in Combustion theory and modelling (02-11-2017)
    “…Calibration of the uncertain Arrhenius diffusion parameters for quantifying mixing rates in Zr-Al nanolaminate foils have been previously performed in a…”
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  18. 18

    Impact of thermodynamic properties and heat loss on ignition of transportation fuels in rapid compression machines by Ahmed, Ahfaz, Hantouche, Mireille, Khurshid, Muneeb, Mohamed, Samah Y., Nasir, Ehson F., Farooq, Aamir, Roberts, William L., Knio, Omar M., Sarathy, S. Mani

    Published in Fuel (Guildford) (15-04-2018)
    “…Rapid compression machines (RCM) are extensively used to study autoignition of a wide variety of fuels at engine relevant conditions. Fuels ranging from pure…”
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  19. 19

    Global sensitivity analysis in an ocean general circulation model: a sparse spectral projection approach by Alexanderian, Alen, Winokur, Justin, Sraj, Ihab, Srinivasan, Ashwanth, Iskandarani, Mohamed, Thacker, William C., Knio, Omar M.

    Published in Computational geosciences (01-06-2012)
    “…Polynomial chaos (PC) expansions are used to propagate parametric uncertainties in ocean global circulation model. The computations focus on short-time,…”
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  20. 20

    An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems by Lima, Ricardo M., Constante-Flores, Gonzalo E., Conejo, Antonio J., Knio, Omar M.

    “…We propose a novel hybrid method to solve the network-constrained stochastic unit commitment problem. We target realistic large-scale instances including…”
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