Results 1 to 10 of about 24,483 (292)
Lubricants, 2018 Drag reduction technologies mainly include the mechanical method and the chemical method. Mechanical drag reduction technologies are widespread in the drilling field due to their environmental friendliness and ease of use.
Xing-Ming Wang, Xing-Miao Yao
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Adaptive multiscale model reduction with Generalized Multiscale Finite Element Methods [PDF]
Journal of Computational Physics, 2016 In this paper, we discuss a general multiscale model reduction framework based on multiscale finite element methods. We give a brief overview of related multiscale methods. Due to page limitations, the overview focuses on a few related methods and is not intended to be comprehensive.
Eric T Chung +2 more
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Adaptive Multiscale Model Reduction for Nonlinear Parabolic Equations Using GMsFEM [PDF]
Computational Science – ICCS 2020, 2020 14 pages.
Wang Y, Chung E, Fu S.
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Sensitivity analysis based dimension reduction of multiscale models [PDF]
Mathematics and Computers in Simulation, 2020 In this paper, the sensitivity analysis of a single scale model is employed in order to reduce the input dimensionality of the related multiscale model, in this way, improving the efficiency of its uncertainty estimation. The approach is illustrated with two examples: a reaction model and the standard Ornstein-Uhlenbeck process.
Anna Nikishova +2 more
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Online Multiscale Model Reduction for Nonlinear Stochastic PDEs with Multiplicative Noise
Multiscale Modeling and Simulation, 2022 In this paper, an online multiscale model reduction method is presented for stochastic partial differential equations (SPDEs) with multiplicative noise, where the diffusion coefficient is spatially multiscale and the noise perturbation nonlinearly depends on the diffusion dynamics. It is necessary to efficiently compute all possible trajectories of the
Lijian Jiang
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Multiscale model reduction for transport and flow problems in perforated domains
Journal of Computational and Applied Mathematics, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eric T Chung +2 more
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Bayesian Estimation of Adsorption and Desorption Parameters for Pore Scale Transport
Mathematics, 2021 Stochastic parameter estimation and inversion have become increasingly popular in recent years. Nowadays, it is computationally reasonable and regular to solve complex inverse problems within the Bayesian framework.
Vasiliy V. Grigoriev +1 more
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Finite Element Simulation of Thermo-Mechanical Model with Phase Change
Computation, 2021 In this work, we consider a mathematical model and finite element implementation of heat transfer and mechanics of soils with phase change. We present the construction of the simplified mathematical model based on the definition of water and ice fraction
Maria Vasilyeva +2 more
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Mathematics, 2021 In this paper, we present a multiscale model reduction technique for unsaturated filtration problem in fractured porous media using an Online Generalized Multiscale finite element method. The flow problem in unsaturated soils is described by the Richards
Denis Spiridonov +3 more
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Multiscale model reduction for incompressible flows
Journal of Fluid Mechanics, 2023 We introduce a projection-based model reduction method that systematically accounts for nonlinear interactions between the resolved and unresolved scales of the flow in a low-dimensional dynamical systems model. The proposed method uses a separation of time scales between the resolved and subscale variables to derive a reduced-order model with cubic ...
Jared L. Callaham +2 more
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