IGA in CFD and FSI: Refinement Strategies, AI Integration, and Future Directions

Isogeometric Analysis (IGA), introduced by Hughes et al. in 2005, seamlessly integrates CAD and FEA by directly utilizing NURBS, T-Splines, and Subdivision Surfaces in numerical simulations. This approach eliminates geometric approximation errors while enhancing computational efficiency. This review examines key developments in fluid-structure interaction, turbulence modeling, and AI-driven optimization, highlighting innovations such as Snakes Iso-geometric Analysis for respiratory modeling, VMS-enhanced Navier-Stokes solvers, and THB-spline adaptive refinement for complex flows. Recent applications include extreme cases like Underwater Explosion FSI and the integration of Graph Neural Networks for topology optimization. With its continued development, IGA is emerging as a key framework in computational science driving innovation in high accuracy simulations and facilitating the integration of AI informed numerical techniques.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-27
DOI
https://doi.org/10.1051/matecconf/202541503004/pdf
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
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article

IGA in CFD and FSI: Refinement Strategies, AI Integration, and Future Directions

Ahmed Elkhalfi, Abdeslam El Akkad, Sohaib Guendaoui
Springer Link (Chiba Institute of Technology)
Model Reduction and Neural Networks
article

IGA in CFD and FSI: Refinement Strategies, AI Integration, and Future Directions

Ahmed Elkhalfi, Abdeslam El Akkad, Sohaib Guendaoui
article en

Abstract

Isogeometric Analysis (IGA), introduced by Hughes et al. in 2005, seamlessly integrates CAD and FEA by directly utilizing NURBS, T-Splines, and Subdivision Surfaces in numerical simulations. This approach eliminates geometric approximation errors while enhancing computational efficiency. This review examines key developments in fluid-structure interaction, turbulence modeling, and AI-driven optimization, highlighting innovations such as Snakes Iso-geometric Analysis for respiratory modeling, VMS-enhanced Navier-Stokes solvers, and THB-spline adaptive refinement for complex flows. Recent applications include extreme cases like Underwater Explosion FSI and the integration of Graph Neural Networks for topology optimization. With its continued development, IGA is emerging as a key framework in computational science driving innovation in high accuracy simulations and facilitating the integration of AI informed numerical techniques.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Model Reduction and Neural Networks
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