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In this paper we propose a method for the construction of locally conservative flux fields from Generalized Multiscale Finite Element Method (GMsFEM) pressure solutions. The flux values are obtained from an element-based postprocessing…

偏微分方程分析 · 数学 2013-04-24 Lawrence Bush , Victor Ginting , Michael Presho

In this paper, we present two adaptive methods for the basis enrichment of the mixed Generalized Multiscale Finite Element Method (GMsFEM) for solving the flow problem in heterogeneous media. We develop an a-posteriori error indicator which…

数值分析 · 数学 2015-07-08 Ho Yuen Chan , Eric T. Chung , Yalchin Efendiev

In this paper, we study the generalized multiscale finite element method (GMsFEM) for single phase compressible flow in highly heterogeneous porous media. We follow the major steps of the GMsFEM to construct permeability dependent offline…

数值分析 · 数学 2022-01-20 Shubin Fu , Eric Chung , Lina Zhao

In this paper, we propose a method for the construction of locally conservative flux fields through a variation of the Generalized Multiscale Finite Element Method (GMsFEM). The flux values are obtained through the use of a Ritz formulation…

数值分析 · 数学 2015-04-09 Michael Presho , Juan Galvis

In this work, we develop an online adaptive enrichment method within the framework of the Constraint Energy Minimizing Generalized Multiscale Finite Element Method (CEM-GMsFEM) for solving the linear heterogeneous poroelasticity models with…

数值分析 · 数学 2023-05-17 Xin Su , Sai-Mang Pun

In this research, an online basis enrichment strategy for the constraint energy minimizing generalized multiscale finite element method in mixed formulation is proposed. The online approach is based on the technique of oversampling. One…

数值分析 · 数学 2019-10-01 Eric T. Chung , Sai-Mang Pun

In this paper, we propose a general approach called Generalized Multiscale Finite Element Method (GMsFEM) for performing multiscale simulations for problems without scale separation over a complex input space. As in multiscale finite…

数值分析 · 数学 2015-06-12 Yalchin Efendiev , Juan Galvis , Thomas Y. Hou

In this paper, we present an Online Generalized Multiscale Finite Element Method(Online GMsFEM) for heat and mass transfer problem in heterogeneous media with artificial ground freezing pipes. The mathematical model of the process is based…

数值分析 · 数学 2022-05-31 Denis Spiridonov , Sergei Stepanov , Vasil`ev Vasiliy

In this paper, we consider an online basis enrichment mixed generalized multiscale method with oversampling, for solving flow problems in highly heterogeneous porous media. This is an exten- sion of the online mixed generalized multiscale…

数值分析 · 数学 2018-07-03 Yanfang Yang , Shubin Fu , Eric T Chung

In this research, we develop an online enrichment framework for goal-oriented adaptivity within the generalized multiscale finite element method for flow problems in heterogeneous media. The method for approximating the quantity of interest…

数值分析 · 数学 2019-06-26 Eric T. Chung , Sara Pollock , Sai-Mang Pun

In this paper, we propose offline and online adaptive enrichment algorithms for the generalized multiscale approximation of a mixed finite element method with velocity elimination to solve the subsurface flow problem in high-contrast and…

数值分析 · 数学 2020-07-20 Zhengkang He , Eric T. Chung , Jie Chen , Zhangxin Chen

In this paper, we propose a randomized generalized multiscale finite element method (Randomized GMsFEM) for flow problems with parameterized inputs and high-contrast heterogeneous media. The method employs a data-driven predictor to…

数值分析 · 数学 2025-08-05 Wing Tat Leung , Qiuqi Li , Songwei Liu

In this paper, we propose a deep-learning-based approach to a class of multiscale problems. THe Generalized Multiscale Finite Element Method (GMsFEM) has been proven successful as a model reduction technique of flow problems in…

数值分析 · 数学 2018-10-30 Min Wang , Siu Wun Cheung , Eric T. Chung , Yalchin Efendiev , Wing Tat Leung , Yating Wang

We develop a new coarse-scale approximation strategy for the nonlinear single-continuum Richards equation as an unsaturated flow over heterogeneous non-periodic media, using the online generalized multiscale finite element method (online…

数值分析 · 数学 2024-03-22 Denis Spiridonov , Sergei Stepanov , Tina Mai

In this paper, we present a mixed Generalized Multiscale Finite Element Method (GMsFEM) for solving flow in heterogeneous media. Our approach constructs multiscale basis functions following a GMsFEM framework and couples these basis…

数值分析 · 数学 2014-06-05 Eric T. Chung , Yalchin Efendiev , Chak Shing Lee

In this paper, we propose a multiscale method for the Darcy-Forchheimer model in highly heterogeneous porous media. The problem is solved in the framework of generalized multiscale finite element methods (GMsFEM) combined with a multipoint…

数值分析 · 数学 2020-07-20 Zhengkang He , Eric T. Chung , Jie Chen , Zhangxin Chen

We propose a generalized multiscale finite element method (GMsFEM) based on clustering algorithm to study the elliptic PDEs with random coefficients in the multi-query setting. Our method consists of offline and online stages. In the…

数值分析 · 数学 2018-08-01 Eric T. Chung , Yalchin Efendiev , Wing Tat Leung , Zhiwen Zhang

In this paper, we develop an online basis enrichment method with the mortar mixed finite element method, using the oversampling technique, to solve for flow problems in highly heterogeneous media. We first compute a coarse grid solution…

数值分析 · 数学 2017-10-05 Yanfang Yang , Eric T. Chung , Shubin Fu

In this paper, we derive an a-posteriori error indicator for the Generalized Multiscale Finite Element Method (GMsFEM) framework. This error indicator is further used to develop an adaptive enrichment algorithm for the linear elliptic…

数值分析 · 数学 2015-06-17 Eric T. Chung , Yalchin Efendiev , Guanliang Li

In this paper, we propose a local-global multiscale method for highly heterogeneous stochastic groundwater flow problems under the framework of reduced basis method and the generalized multiscale finite element method (GMsFEM). Due to…

数值分析 · 数学 2022-03-02 Yiran Wang , Eric Chung , Shubin Fu
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