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Adaptive mesh refinement in the fast lane
Journal of Computational Physics, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel Dunning +3 more
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Refinement Algorithms for Adaptive Isogeometric Methods with Hierarchical Splines
Axioms, 2018 The construction of suitable mesh configurations for spline models that provide local refinement capabilities is one of the fundamental components for the analysis and development of adaptive isogeometric methods.
Cesare Bracco +2 more
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Adaptive Finite Volume Method for the Shallow Water Equations on Triangular Grids
Advances in Mathematical Physics, 2016 This paper presents a numerical entropy production (NEP) scheme for two-dimensional shallow water equations on unstructured triangular grids. We implement NEP as the error indicator for adaptive mesh refinement or coarsening in solving the shallow water ...
Sudi Mungkasi
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Analysis of marking criteria for mesh adaptation in Cosserat elasticity
MATEC Web of Conferences, 2018 The article is devoted to comparison of finite element marking criteria for adaptive mesh refinement while solving plane Cosserat elasticity problems. The goal is to compare the resulting adaptive meshes obtained with different marking strategies.
Churilova Maria
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A pk-Adaptive Mesh Refinement for Pseudospectral Method to Solve Optimal Control Problem
IEEE Access, 2019 In this paper, a pk-adaptive mesh refinement of pseudospectral method is proposed for solving optimal control problem by using collocation at Legendre-Gauss-Lobatto (LGL) points, motivated by reducing the redundant collocation points in the state-of-art ...
Jun Huang +4 more
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Adaptive mesh refinement for characteristic codes [PDF]
Journal of Computational Physics, 2004 The use of adaptive mesh refinement (AMR) techniques is crucial for accurate and efficient simulation of higher dimensional spacetimes. In this work we develop an adaptive algorithm tailored to the integration of finite difference discretizations of wave-like equations using characteristic coordinates.
Pretorius, Frans, Lehner, Luis
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Swarm Reinforcement Learning for Adaptive Mesh Refinement
Advances in Neural Information Processing Systems 36, 2023 Adaptive Mesh Refinement (AMR) enhances the Finite Element Method, an important technique for simulating complex problems in engineering, by dynamically refining mesh regions, enabling a favorable trade-off between computational speed and simulation accuracy.
Niklas Freymuth +5 more
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Deep reinforcement learning for adaptive mesh refinement
Journal of Computational Physics, 2023 Finite element discretizations of problems in computational physics often rely on adaptive mesh refinement (AMR) to preferentially resolve regions containing important features during simulation. However, these spatial refinement strategies are often heuristic and rely on domain-specific knowledge or trial-and-error.
Corbin Foucart +2 more
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Extending the Building Cube Method to Curvilinear Mesh with Adaptive Mesh Refinement
Journal of Fluid Science and Technology, 2014 Building Cube Method (BCM) adopts block-structured Cartesian mesh and finer resolution can be used where the flow contains detailed flow structures. This paper reports the recent progress in extending BCM to curvilinear body-fitted mesh with Adaptive ...
Xinrong SU +2 more
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Research on tetrahedral adaptive mesh grading refinement for intersecting faults
Gong-kuang zidonghuaCurrent tetrahedral adaptive mesh refinement techniques have primarily focused on the 3D reconstruction and analysis of simple stratified geological bodies. When applying adaptive mesh refinement to complex geological structures, such as those containing
CHEN Yingxian +3 more
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