Results 41 to 50 of about 110,928 (311)
Prediction of Discretization of GMsFEM Using Deep Learning
Mathematics, 2019 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 heterogeneous and high ...
Min Wang +5 more
doaj +1 more source
A multiscale flux basis for mortar mixed discretizations of reduced Darcy-Forchheimer fracture models [PDF]
, 2018 In this paper, a multiscale flux basis algorithm is developed to efficiently solve a flow problem in fractured porous media. Here, we take into account a mixed-dimensional setting of the discrete fracture matrix model, where the fracture network is ...
Ahmed, Elyes +2 more
core +2 more sources
Multiscale model reduction of fluid flow based on the dual porosity model
Journal of Physics: Conference Series, 2019 Sergei Stepanov +4 more
openalex +2 more sources
Energy Science & Engineering, 2023 Global carbon dioxide emissions have become a great threat to economic sustainability and human health. The carbon market is recognized as the most promising mean to curb carbon emissions, furthermore, carbon price forecasting will promote the role of ...
Po Yun +3 more
doaj +1 more source
Multiscale Modeling and Simulation of Organic Solar Cells [PDF]
, 2012 In this article, we continue our mathematical study of organic solar cells (OSCs) and propose a two-scale (micro- and macro-scale) model of heterojunction OSCs with interface geometries characterized by an arbitrarily complex morphology.
Bagnis +41 more
core +2 more sources
In situ adaptive reduction of nonlinear multiscale structural dynamics models
International Journal for Numerical Methods in Engineering, 2020 SummaryConventional offline training of reduced‐order bases in a predetermined region of a parameter space leads to parametric reduced‐order models that are vulnerable to extrapolation. This vulnerability manifests itself whenever a queried parameter point lies in an unexplored region of the parameter space.
Wanli He, Philip Avery, Charbel Farhat
openaire +4 more sources
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
doaj +1 more source
Multilevel Markov Chain Monte Carlo Method for High-Contrast Single-Phase Flow Problems [PDF]
, 2014 In this paper we propose a general framework for the uncertainty quantification of quantities of interest for high-contrast single-phase flow problems.
Efendiev, Yalchin +3 more
core +1 more source
Advanced Modeling and Simulation in Engineering Sciences, 2021 Solutions of partial differential equations can exhibit multiple time scales. Standard discretization techniques are constrained to capture the finest scale to accurately predict the response of the system.
Angelo Pasquale +6 more
doaj +1 more source