Results 21 to 30 of about 12,751,481 (301)
A Multiscale Method for Porous Microstructures [PDF]
Multiscale Modeling & Simulation, 2016 In this paper we develop a multiscale method to solve problems in complicated porous microstructures with Neumann boundary conditions. By using a coarse-grid quasi-interpolation operator to define a fine detail space and local orthogonal decomposition, we construct multiscale corrections to coarse-grid basis functions with microstructure. By truncating
Donald L. Brown, Daniel Peterseim
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Multiscale modeling methods in biomechanics [PDF]
WIREs Systems Biology and Medicine, 2017 More and more frequently, computational biomechanics deals with problems where the portion of physical reality to be modeled spans over such a large range of spatial and temporal dimensions, that it is impossible to represent it as a single space–time continuum. We are forced to consider multiple space–time continua, each representing the phenomenon of
Bhattacharya, P., Viceconti, M.
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Entropy, 2023 Multiscale estimation for geographically weighted regression (GWR) and the related models has attracted much attention due to their superiority. This kind of estimation method will not only improve the accuracy of the coefficient estimators but also ...
Shi-Jie Gao +3 more
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A multiscale method for the heterogeneous Signorini problem [PDF]
Journal of Computational and Applied Mathematics, 2022 In this paper, we develop a multiscale method for solving the Signorini problem with a heterogeneous field. The Signorini problem is encountered in many applications, such as hydrostatics, thermics, and solid mechanics. It is well-known that numerically solving this problem requires a fine computational mesh, which can lead to a large number of degrees
Xin Su, Sai-Mang Pun
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Variational Multiscale Nonparametric Regression: Algorithms and Implementation
Algorithms, 2020 Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric ...
Miguel del Alamo +3 more
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IEEE Access, 2022 Process monitoring has played an increasingly significant role in ensuring safe and efficient manufacturing operations in process industries over the past several years.
Muhammad Nawaz +3 more
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Multiscale modeling of reservoir systems using geostatistical methods
Comptes Rendus. Géoscience, 2023 Identifying factors and quantifying the processes, influencing the extent of reservoir rocks and the distribution of their heterogeneities are fundamental prerequisites to improve the characterization of reservoir connectivity and its dynamic functioning.
Chihi, Hayet +4 more
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A molecular dynamics/extended finite element method for dynamic crack propagation
Vietnam Journal of Mechanics, 2008 A multiscale method is presented which couples a molecular dynamics approach for describing fracture at the crack tip with an extended finite element method for discretizing the remainder of the domain.
Pascal Aubertin +2 more
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A multiscale method for data assimilation [PDF]
Computational Geosciences, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rafael J. de Moraes +2 more
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A Numerical Multiscale Method for Fiber Networks [PDF]
14th WCCM-ECCOMAS Congress, 2021 Fiber network modeling can be used for studying mechanical properties of paper. The individual fibers and the bonds in-between constitute a detailed representation of the material. However, detailed microscale fiber network models must be resolved with efficient numerical methods.
Morgan Görtz +4 more
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