Hugo M. Verhelst

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Isogeometric suitable coupling methods for partitioned multiphysics simulation with application to fluid-structure interaction.
Eng. Comput.
Jingya Li, Hugo M. Verhelst, J. Henk Den Besten, Matthias Möller
2025 J jnl
IsoGeometric Suitable Coupling Methods for Partitioned Multiphysics Simulation with Application to Fluid-Structure Interaction.
CoRR
Jingya Li, Hugo M. Verhelst, J. Henk Den Besten, Matthias Möller
2025 J jnl
Isogeometric multi-patch shell analysis using the Geometry + Simulation Modules.
CoRR
Hugo M. Verhelst, Angelos Mantzaflaris, Matthias Möller
2024 J jnl
A Wrinkling Model for General Hyperelastic Materials based on Tension Field Theory.
CoRR
Hugo M. Verhelst, Matthias Möller, J. Henk Den Besten
2024 J jnl
Goal-adaptive Meshing of Isogeometric Kirchhoff-Love Shells.
Eng. Comput.
Hugo M. Verhelst, Angelos Mantzaflaris, Matthias Möller, J. Henk Den Besten
2023 J jnl
A comparison of smooth basis constructions for isogeometric analysis.
CoRR
Hugo M. Verhelst, P. Weinmüller, Angelos Mantzaflaris, T. Takacs, Deepesh Toshniwal
2023 J jnl
An Adaptive Parallel Arc-Length Method.
CoRR
Hugo M. Verhelst, J. Henk Den Besten, Matthias Möller
2023 J jnl
Goal-Adaptive Meshing of Isogeometric Kirchhoff-Love Shells.
CoRR
Hugo M. Verhelst, Angelos Mantzaflaris, Matthias Möller, J. Henk Den Besten
2022 J jnl
Isogeometric analysis for multi-patch structured Kirchhoff-Love shells.
CoRR
Andrea Farahat, Hugo M. Verhelst, Josef Kiendl, Mario Kapl
2021 J jnl
Stretch-Based Hyperelastic Material Formulations for Isogeometric Kirchhoff-Love Shells with Application to Wrinkling.
Comput. Aided Des.
Hugo M. Verhelst, Matthias Möller, J. Henk Den Besten, Angelos Mantzaflaris, Mirek Kaminski
2020 J jnl
Machine Learning Against Terrorism: How Big Data Collection and Analysis Influences the Privacy-Security Dilemma.
Sci. Eng. Ethics
Hugo M. Verhelst, A. W. Stannat, G. Mecacci
2019 — conf
Equilibrium Path Analysis Including Bifurcations with an Arc-Length Method Avoiding A Priori Perturbations.
ENUMATH
Hugo M. Verhelst, Matthias Möller, J. Henk Den Besten, Fred J. Vermolen, Mirek Kaminski