Results 11 to 20 of about 7,224 (262)

Reinforcement Learning for Adaptive Mesh Refinement

open access: yesCoRR, 2021
Large-scale finite element simulations of complex physical systems governed by partial differential equations (PDE) crucially depend on adaptive mesh refinement (AMR) to allocate computational budget to regions where higher resolution is required. Existing scalable AMR methods make heuristic refinement decisions based on instantaneous error estimation ...
Jiachen Yang   +11 more
openaire   +3 more sources

A three-dimensional robust volume-of-fluid solver based on the adaptive mesh refinement

open access: yesTheoretical and Applied Mechanics Letters, 2021
The present study provides a three-dimensional volume-of-fluid method based on the adaptive mesh refinement technique. The projection method on the adaptive mesh is introduced for solving the incompressible Navier-Stokes equations.
Xin Zhao
doaj   +1 more source

A Feature-Extraction-Based Adaptive Refinement Method for Solving the Reynolds Equation in Piston–Cylinder System

open access: yesLubricants, 2023
A fast local refinement algorithm based on feature extraction is developed. In the mesh-based Reynolds equation solutions, two refinement features based on the physical parameters of fluid lubrication are firstly defined, namely, pressure value feature ...
Jiashu Yang   +3 more
doaj   +1 more source

Energy calibration via correlation using an adaptive mesh refinement [PDF]

open access: yesEPJ Web of Conferences, 2020
Energy calibration via correlation has proven to be a powerful calibration method especially in the case of calibration data sets with low counting statistics. This work reports on an evolved version of this approach that uses an adaptive mesh refinement
Maier Daniel   +2 more
doaj   +1 more source

Issues in adaptive mesh refinement [PDF]

open access: yes2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-physics simulations. The approach consists of clustering, symmetry preserving, mesh continuity, flux correction, communications, management of patches, and dynamical load balance.
openaire   +1 more source

Metrics for Performance Quantification of Adaptive Mesh Refinement [PDF]

open access: yesJournal of Scientific Computing, 2021
AbstractNon-uniform, dynamically adaptive meshes are a useful tool for reducing computational complexities for geophysical simulations that exhibit strongly localised features such as is the case for tsunami, hurricane or typhoon prediction. Using the example of a shallow water solver, this study explores a set of metrics as a tool to distinguish the ...
Nicole Beisiegel   +2 more
openaire   +5 more sources

ADAPTIVE MESH REFINEMENT AND RELATIVISTIC MHD [PDF]

open access: yesThe Eleventh Marcel Grossmann Meeting, 2008
3 Pages, Proceedings of the Marcel Grossmann Meeting ...
Neilsen, David   +3 more
openaire   +2 more sources

Local h-adaptive refinement method applied to solid mechanics

open access: yesApplied and Computational Mechanics, 2020
A good spatial discretization is of prime interest in the accuracy of the finite element method. This paper presents a new refinement criterion dedicated to an h-type refinement method called Conforming Hierarchical Adaptive Refinement MethodS (CHARMS ...
Daridon L.   +3 more
doaj   +1 more source

Relativistic MHD with adaptive mesh refinement [PDF]

open access: yesClassical and Quantum Gravity, 2006
24 pages, 14 figures, 3 ...
Anderson, Matthew   +3 more
openaire   +3 more sources

Adaptive Grid Use in Air Quality Modeling

open access: yesAtmosphere, 2011
The predictions from air quality models are subject to many sources of uncertainty; among them, grid resolution has been viewed as one that is limited by the availability of computational resources.
Mehmet Talat Odman   +1 more
doaj   +1 more source

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