Results 31 to 40 of about 24,892 (257)

Computational multiscale modeling of fracture and its model order reduction

open access: yes, 2023
This thesis focuses on the numerical modeling of fracture and its propagation in heterogeneous materials by means of hierarchical multiscale models based on the FE2 method, addressing at the same time, the problem of the excessive computational cost through the development, implementation and validation of a set of computational tools based on reduced ...
openaire   +4 more sources

Prediction of Discretization of GMsFEM Using Deep Learning

open access: yesMathematics, 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

Multiscale YOLOv5-AFAM-Based Infrared Dim-Small-Target Detection

open access: yesApplied Sciences, 2023
Infrared detection plays an important role in the military, aerospace, and other fields, which has the advantages of all-weather, high stealth, and strong anti-interference.
Yuexing Wang   +4 more
doaj   +1 more source

Multiscale model reduction for shale gas transport in fractured media [PDF]

open access: yesComputational Geosciences, 2016
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 previous work \cite{aes14}, where we derived an upscaled model in the form of generalized nonlinear diffusion model to ...
Akkutlu, I. Y.   +2 more
openaire   +3 more sources

From Domain Decomposition to Model Reduction for Large Nonlinear Structures

open access: yesComptes Rendus. Mécanique, 2023
The numerical simulation of multiscale and multiphysics problems requires efficient tools for spatial localization and model reduction. A general strategy combining Domain Decomposition and Nonuniform Transformation Field Analysis (NTFA) is proposed ...
Leturcq, Bertrand, Le Tallec, Patrick
doaj   +1 more source

Forecasting carbon dioxide emission price using a novel mode decomposition machine learning hybrid model of CEEMDAN‐LSTM

open access: yesEnergy 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

A multiscale method for model order reduction in PDE parameter estimation

open access: yesJournal of Computational and Applied Mathematics, 2019
22 pages, 4 figures, 3 ...
Samy Wu Fung, Lars Ruthotto
openaire   +3 more sources

Characterization of Aquifer Multiscale Properties by Generating Random Fractal Field with Truncated Power Variogram Model Using Karhunen–Loève Expansion

open access: yesGeofluids, 2017
The traditional geostatistics to describe the spatial variation of hydrogeological properties is based on the assumption of stationarity or statistical homogeneity.
Liang Xue   +3 more
doaj   +1 more source

A separated representation involving multiple time scales within the Proper Generalized Decomposition framework

open access: yesAdvanced 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

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

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