中文
相关论文

相关论文: Adaptive mixed GMsFEM for flows in heterogeneous m…

200 篇论文

In this paper, we propose a rigorous and accurate non-local (in the oversampled region) upscaling framework based on some recently developed multiscale methods [10]. Our proposed method consists of identifying multi-continua parameters via…

数值分析 · 数学 2018-08-01 Eric T. Chung , Yalchin Efendiev , Wing Tat Leung , Yating Wang , Maria Vasilyeva

In this paper, we present a residual-driven multiscale method for simulating Darcy flow in perforated domains, where complex geometries and highly heterogeneous permeability make direct simulations computationally expensive. To address…

数值分析 · 数学 2026-03-11 Wei Xie , Shubin Fu , Yin Yang , Yunqing Huang

In this paper, we construct a class of Mixed Generalized Multiscale Finite Element Methods for the approximation on a coarse grid for an elliptic problem in thin two-dimensional domains. We consider the elliptic equation with homogeneous…

数值分析 · 数学 2021-10-13 Denis Spiridonov , Maria Vasilyeva , Min Wang , Eric T. Chung

Simulating flow in a highly heterogeneous reservoir with multiscale characteristics could be considerably demanding. To tackle this problem, we propose a numerical scheme coupling the Generalized Multiscale Finite Element Method (GMsFEM)…

数值分析 · 数学 2018-10-31 Min Wang , Siu Wun Cheung , Eric T. Chung , Maria Vasilyeva , Yuhe Wang

Additive models and generalized additive models are effective semiparametric tools for multidimensional data. In this article we propose an online smoothing backfitting method for generalized additive models with local polynomial smoothers.…

统计理论 · 数学 2021-12-20 Ying Yang , Fang Yao

In this paper, we propose a model's sparse representation based on reduced mixed generalized multiscale finite element (GMsFE) basis methods for elliptic PDEs with random inputs. Mixed generalized multiscale finite element method (GMsFEM)…

数值分析 · 数学 2017-04-05 Lijian Jiang , Qiuqi Li

In this paper, we propose a local model reduction approach for subsurface flow problems in stochastic and highly heterogeneous media. To guarantee the mass conservation, we consider the mixed formulation of the flow problem and aim to solve…

数值分析 · 数学 2022-03-23 Yiran Wang , Eric Chung , Shubin Fu

Finite differences, finite elements, and their generalizations are widely used for solving partial differential equations, and their high-order variants have respective advantages and disadvantages. Traditionally, these methods are treated…

数值分析 · 数学 2020-01-22 Rebecca Conley , Xiangmin Jiao , Tristan J. Delaney

In this paper, we consider the numerical solution of some nonlinear poroelasticity problems that are of Biot type and develop a general algorithm for solving nonlinear coupled systems. We discuss the difficulties associated with flow and…

数值分析 · 数学 2015-08-11 Donald L. Brown , Maria Vasilyeva

The Multiscale Finite Element Method (MsFEM) is developed in the vein of Crouzeix-Raviart element for solving viscous incompressible flows in genuine heterogeneous media. Such flows are relevant in many branches of engineering, often at…

数值分析 · 数学 2014-04-11 Bagus Putra Muljadi , Jacek Narski , Alexei Lozinski , Pierre Degond

We provide a concise review of the exponentially convergent multiscale finite element method (ExpMsFEM) for efficient model reduction of PDEs in heterogeneous media without scale separation and in high-frequency wave propagation. ExpMsFEM…

数值分析 · 数学 2023-02-07 Yifan Chen , Thomas Y. Hou , Yixuan Wang

In this paper a new primal-dual mixed finite element method is introduced, aimed to model multiscale problems with several geometric subregions in the domain of interest. In each of these regions porous media fluid flow takes place, but…

数值分析 · 数学 2020-08-21 Fernando A Morales

We present a multiscale mixed finite element method for solving second order elliptic equations with general $L^{\infty}$-coefficients arising from flow in highly heterogeneous porous media. Our approach is based on a multiscale spectral…

数值分析 · 数学 2024-04-05 Christian Alber , Chupeng Ma , Robert Scheichl

Numerical modeling of wave propagation in heterogeneous media is important in many applications. Due to the complex nature, direct numerical simulations on the fine grid are prohibitively expensive. It is therefore important to develop…

数值分析 · 数学 2016-11-26 Eric T. Chung , Yalchin Efendiev , Wing Tat Leung

In this paper, we develop a multiscale model reduction technique that describes shale gas transport in fractured media. Due to the pore-scale heterogeneities and processes, we use upscaled models to describe the matrix. We follow our…

计算工程、金融与科学 · 计算机科学 2015-07-03 I. Y. Akkutlu , Yalchin Efendiev , Maria Vasilyeva

In this paper, we consider a pressure-velocity formulation of the heterogeneous wave equation and employ the constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) to solve this problem. The proposed method…

数值分析 · 数学 2020-10-06 Eric Chung , Sai-Mang Pun

In this paper, we propose a local-global multiscale mortar mixed finite element method (MMMFEM) for multiphase transport in heterogeneous media. We consider the two-phase flow system, the pressure equation is solved via the multiscale…

数值分析 · 数学 2019-10-02 Shubin Fu , Eric Chung

The convergence analysis for least-squares finite element methods led to various adaptive mesh-refinement strategies: Collective marking algorithms driven by the built-in a posteriori error estimator or an alternative explicit…

数值分析 · 数学 2023-09-18 Philipp Bringmann

Numerical simulations for flow and transport in subsurface porous media often prove computationally prohibitive due to property data availability at multiple spatial scales that can vary by orders of magnitude. A number of model order…

数值分析 · 数学 2018-03-13 Gurpreet Singh , Wingtat Leung , Mary F. Wheeler

The purpose of this work is to investigate the behavior of Multiscale Finite Element type methods for advection-diffusion problems in the advection-dominated regime. We present, study and compare various options to address the issue of the…

数值分析 · 数学 2015-11-30 Claude Le Bris , Frederic Legoll , François Madiot