Combining high-order metric interpolation and geometry implicitization for curved r-adaption

G Aparicio-Estrems, A Gargallo-Peiró, X Roca - Computer-Aided Design, 2023 - Elsevier
We detail how to use Newton's method for distortion-based curved r-adaption to a discrete
high-order metric field while matching a target geometry. Specifically, we combine two terms …

Evocube: A Genetic Labelling Framework for Polycube‐Maps

C Dumery, F Protais, S Mestrallet… - Computer Graphics …, 2022 - Wiley Online Library
Polycube‐maps are used as base‐complexes in various fields of computational geometry,
including the generation of regular all‐hexahedral meshes free of internal singularities …

[HTML][HTML] Variational method for untangling and optimization of spatial meshes

VA Garanzha, LN Kudryavtseva… - Journal of Computational …, 2014 - Elsevier
A variational method that can provably construct 3D quasi-isometric mappings between
domains of a complex shape is introduced. A local maximum principle for polyconvex mesh …

Local element operations for curved simplex meshes

A Shi, PO Persson - International Journal for Numerical …, 2024 - Wiley Online Library
Mesh optimization procedures are generally a combination of node smoothing and discrete
operations which affect a small number of elements to improve the quality of the overall …

[HTML][HTML] Mesh generation, sizing and convergence for onshore and offshore wind farm Atmospheric Boundary Layer flow simulation with actuator discs

A Gargallo-Peiró, M Avila, H Owen… - Journal of …, 2018 - Elsevier
A new mesh generation process for wind farm modeling is presented together with a mesh
convergence and sizing analysis for wind farm flow simulations. The generated meshes are …

[PDF][PDF] High-order metric interpolation for curved r-adaption by distortion minimization

G Aparicio-Estrems… - Proceedings of the …, 2022 - meshingroundtable.com
We detail how to use Newton's method for distortion-based curved r-adaption to a discrete
high-order metric field. To this end, we consider three existent ingredients. First, a specific …

Defining a stretching and alignment aware quality measure for linear and curved 2D meshes

G Aparicio-Estrems, A Gargallo-Peiró… - 27th International Meshing …, 2019 - Springer
We define a regularized shape distortion (quality) measure for curved high-order 2D
elements on a Riemannian plane. To this end, we measure the deviation of a given 2D …

Defining metric-aware size-shape measures to validate and optimize curved high-order meshes

G Aparicio-Estrems, A Gargallo-Peiró, X Roca - Computer-Aided Design, 2024 - Elsevier
We define a regularized size-shape distortion (quality) measure for curved high-order
elements on a Riemannian space. To this end, we measure the deviation of a given …

[HTML][HTML] Geometric approach to detecting volumetric changes in medical images

A Naitsat, S Cheng, X Qu, X Fan, E Saucan… - Journal of Computational …, 2018 - Elsevier
We present a new quantitative method for detecting changes in 3D medical images. The
dissimilarity between shapes is quantified as a measure of the effort it takes to deform one …

Hyperelastic springback technique for construction of prismatic mesh layers

VA Garanzha, LN Kudryavtseva - Procedia engineering, 2017 - Elsevier
We consider an algorithm for construction of thick prismatic mesh layers which works as
follows. A triangular surface mesh is specified as input. Then, thin initial layer of highly …