Abel Gargallo-Peiró

dblp:143/9959 · DBLP profile ↗
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7ranked-venue papers
1as first author
6since 2021 · last 2024
0000-0003-3742-2197ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 7 · 1 first-author · 6 since 2021
YearPublicationVenuePosition
2024 A Globalized and Preconditioned Newton-CG Solver for Metric-Aware Curved High-Order Mesh Optimization
Guillermo Aparicio-Estrems, Abel Gargallo-Peiró, Xevi Roca
Comput. Aided Des.2
2024 Defining metric-aware size-shape measures to validate and optimize curved high-order meshes
Guillermo Aparicio-Estrems, Abel Gargallo-Peiró, Xevi Roca
Comput. Aided Des.2
2023 Combining High-Order Metric Interpolation and Geometry Implicitization for Curved r-Adaption
Guillermo Aparicio-Estrems, Abel Gargallo-Peiró, Xevi Roca
Comput. Aided Des.2
2023 Conformal Marked Bisection for Local Refinement of n-Dimensional Unstructured Simplicial Meshes
Guillem Belda-Ferrín, Eloi Ruiz-Gironés, Abel Gargallo-Peiró, Xevi Roca
Comput. Aided Des.3
2022 A Hybrid Meshing Framework Adapted to the Topography to Simulate Atmospheric Boundary Layer Flows
Abel Gargallo-Peiró, Matias Avila, Arnau Folch
Comput. Aided Des.1
2022 Interpolation of Subdivision Features for Curved Geometry Modeling
Albert Jiménez-Ramos, Abel Gargallo-Peiró, Xevi Roca
Comput. Aided Des.2
2019 Automatically imposing incremental boundary displacements for valid mesh morphing and curving
abstract
We present a new incremental mesh morphing method obtained by proposing and discretizing a solution procedure for the continuous morphing problem. Our method seeks a diffeomorphism that transforms an initial domain to a final domain by only prescribing the boundary displacement. To this end, we propose to minimize the distortion of the morphing mapping constrained to satisfy the imposed boundary displacement. To solve this problem, we consider an augmented Lagrangian method in Hilbert spaces that incorporates the boundary condition in the objective function using the Lagrange multipliers and a penalty parameter. The distortion is devised to penalize the appearance of non-invertible mappings and therefore, we do not need to equip our discrete implementation with untangling capabilities. Moreover, we introduce a weight function to improve the quality of the deformation and thus, the robustness of the non-linear solver. The discretization of the continuous augmented Lagrangian method leads to a mesh morphing method suitable for large displacements and rotations of meshes with non-uniform sizing, and mesh curving of highly stretched high-order meshes.
Eloi Ruiz-Gironés, Abel Gargallo-Peiró, Josep Sarrate, Xevi Roca
Comput. Aided Des.2