Results 11 to 20 of about 24,892 (257)

Multiscale model reduction for incompressible flows

open access: yesJournal 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
openaire   +3 more sources

DG-GMsFEM for Problems in Perforated Domains with Non-Homogeneous Boundary Conditions

open access: yesComputation, 2021
Problems in perforated media are complex and require high resolution grid construction to capture complex irregular perforation boundaries leading to the large discrete system of equations. In this paper, we develop a multiscale model reduction technique
Valentin Alekseev   +3 more
doaj   +1 more source

Online Coupled Generalized Multiscale Finite Element Method for the Poroelasticity Problem in Fractured and Heterogeneous Media

open access: yesFluids, 2021
In this paper, we consider the poroelasticity problem in fractured and heterogeneous media. The mathematical model contains a coupled system of equations for fluid pressures and displacements in heterogeneous media.
Aleksei Tyrylgin   +4 more
doaj   +1 more source

Model Order Reduction in Computational Multiscale Fracture Mechanics [PDF]

open access: yesKey Engineering Materials, 2016
Nowadays, the model order reduction techniques have become an intensive research eld because of the increasing interest in the computational modeling of complex phenomena in multi-physic problems, and its conse- quent increment in high-computing demanding processes; it is well known that the availability of high-performance computing capacity is, in ...
Caicedo Silva, Manuel Alejandro   +3 more
openaire   +3 more sources

On Parameter Identification for Reaction-Dominated Pore-Scale Reactive Transport Using Modified Bee Colony Algorithm

open access: yesAlgorithms, 2021
Parameter identification is an important research topic with a variety of applications in industrial and environmental problems. Usually, a functional has to be minimized in conjunction with parameter identification; thus, there is a certain similarity ...
Vasiliy V. Grigoriev   +2 more
doaj   +1 more source

A local data assimilation method (Local DA v1.0) and its application in a simulated typhoon case [PDF]

open access: yesGeoscientific Model Development, 2022
Integrating the hybrid and multiscale analyses and the parallel computation is necessary for current data assimilation schemes. A local data assimilation method, Local DA, is designed to fulfill these needs.
S. Wang, X. Qiao
doaj   +1 more source

An Accurate Approximation of the Two-Phase Stefan Problem with Coefficient Smoothing

open access: yesMathematics, 2020
In this work, we consider the heat transfer problems with phase change. The mathematical model is described through a two-phase Stefan problem and defined in the whole domain that contains frozen and thawed subdomains.
Vasily Vasil’ev, Maria Vasilyeva
doaj   +1 more source

Generalized Multiscale Finite Element Method for Elastic Wave Propagation in the Frequency Domain

open access: yesComputation, 2020
In this work, we consider elastic wave propagation in fractured media. The mathematical model is described by the Helmholtz problem related to wave propagation with specific interface conditions (Linear Slip Model, LSM) on the fracture in the frequency ...
Uygulana Gavrilieva   +2 more
doaj   +1 more source

Multiscale Model Reduction of the Unsaturated Flow Problem in Heterogeneous Porous Media with Rough Surface Topography

open access: yesMathematics, 2020
In this paper, we consider unsaturated filtration in heterogeneous porous media with rough surface topography. The surface topography plays an important role in determining the flow process and includes multiscale features.
Denis Spiridonov   +4 more
doaj   +1 more source

Remaining Useful Life Prediction Model for Rolling Bearings Based on MFPE–MACNN

open access: yesEntropy, 2022
Aiming to resolve the problem of redundant information concerning rolling bearing degradation characteristics and to tackle the difficulty faced by convolutional deep learning models in learning feature information in complex time series, a prediction ...
Yaping Wang   +4 more
doaj   +1 more source

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