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

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For nonlinear Cosserat elasticity, we consider multiscale methods in this paper. In particular, we explore the generalized multiscale finite element method (GMsFEM) to solve an isotropic Cosserat problem with strain-limiting property…

数值分析 · 数学 2024-03-22 Dmitry Ammosov , Tina Mai , Juan Galvis

In fluid flow simulation, the multi-continuum model is a useful strategy. When the heterogeneity and contrast of coefficients are high, the system becomes multiscale, and some kinds of reduced-order methods are demanded. Combining these…

数值分析 · 数学 2023-02-08 Tina Mai , Siu Wun Cheung , Jun Sur Richard Park

This paper considers flow problems in multiscale heterogeneous porous media. The multiscale nature of the modeled process significantly complicates numerical simulations due to the need to compute huge and ill-conditioned sparse matrices,…

In this paper, we discuss the application of Generalized Multiscale Finite Element Method (GMsFEM) to elasticity equation in heterogeneous media. Our applications are motivated by elastic wave propagation in subsurface where the subsurface…

数值分析 · 数学 2014-08-27 Eric T. Chung , Yalchin Efendiev , Shubin Fu

In energy science, Darcy flow in heterogeneous porous media is a central problem in reservoir sim-ulation. However, the pronounced multiscale characteristics of such media pose significant challenges to conventional numerical methods in…

数值分析 · 数学 2025-11-27 Peiqi Li , Jie Chen

In this paper we develop two goal-oriented adaptive strategies for a posteriori error estimation within the generalized multiscale finite element framework. In this methodology, one seeks to determine the number of multiscale basis…

数值分析 · 数学 2015-09-21 Eric T. Chung , Wing Tat Leung , Sara Pollock

In this paper, we develop and analyze an adaptive multiscale approach for heterogeneous problems in perforated domains. In many applications, these problems have a multiscale nature arising because of the perforations, their geometries, the…

数值分析 · 数学 2016-05-26 Eric T. Chung , Yalchin Efendiev , Wing Tat Leung , Maria Vasilyeva , Yating Wang

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

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 work, we propose a generalized multiscale inversion algorithm for heterogeneous problems that aims at solving an inverse problem on a computational coarse grid. Previous inversion techniques for multiscale problems seek a…

数值分析 · 数学 2017-07-27 Eric T. Chung , Yalchin Efendiev , Bangti Jin , Wing Tat Leung , Maria Vasilyeva

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

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

In this paper, we address the numerical homogenization approximation of a free-boundary dam problem posed in a heterogeneous media. More precisely, we propose a generalized multiscale finite element (GMsFEM) method for the heterogeneous dam…

数值分析 · 数学 2019-02-19 Juan Galvis , Carlos Vásquez , Luis F. Contreras

Numerical simulations of waves in highly heterogeneous media have important applications, but direct computations are prohibitively expensive. In this paper, we develop a new generalized multiscale finite element method with the aim of…

数值分析 · 数学 2015-09-09 Eric T. Chung , Wing Tat Leung

In this paper we consider the numerical upscaling of the Brinkman equation in the presence of high-contrast permeability fields. We develop and analyze a robust and efficient Generalized Multiscale Finite Element Method (GMsFEM) for the…

数值分析 · 数学 2014-04-22 Guanglian Li , Juan Galvis , Ke Shi

Simulating complex processes in fractured media requires some type of model reduction. Well-known approaches include multi-continuum techniques, which have been commonly used in approximating subgrid effects for flow and transport in…

数值分析 · 数学 2017-02-24 Eric T. Chung , Yalchin Efendiev , Tat Leung , Maria Vasilyeva

In this contribution we consider localized, robust and efficient a-posteriori error estimation of the localized reduced basis multi-scale (LRBMS) method for parametric elliptic problems with possibly heterogeneous diffusion coefficient. The…

数值分析 · 数学 2019-10-30 Mario Ohlberger , Felix Schindler

The oversampling multiscale finite element method (MsFEM) is one of the most popular methods for simulating composite materials and flows in porous media which may have many scales. But the method may be inapplicable or inefficient in some…

数值分析 · 数学 2012-11-16 Weibing Deng , Haijun Wu

It is important to develop fast yet accurate numerical methods for seismic wave propagation to characterize complex geological structures and oil and gas reservoirs. However, the computational cost of conventional numerical modeling…

地球物理 · 物理学 2015-05-20 Kai Gao , Shubin Fu , Richard L. Gibson , Eric T. Chung , Yalchin Efendiev

We introduce an adaptive superconvergent finite element method for a class of mixed formulations to solve partial differential equations involving a diffusion term. It combines a superconvergent postprocessing technique for the primal…

数值分析 · 数学 2025-02-03 Ignacio Muga , Sergio Rojas , Patrick Vega

In this paper, we develop the constrained energy minimizing generalized multiscale finite element method (CEM-GMsFEM) with mixed boundary conditions (Dirichlet and Neumann) for the elasticity equations in high contrast media. By a special…

数值分析 · 数学 2022-10-21 Zhongqian Wang , Changqing Ye , Eric T. Chung