Group-Based Corotational FEM for Real-Time Large Deformation Simulation
Author(s) -
Siyu Wang,
Yunxiu Xu,
Shoichi Hasegawa
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3616629
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Real-time simulation of large deformations in soft bodies has long faced a trade-off between computational efficiency and physical accuracy. This paper presents a novel Local Linear Corotated Finite Element Method that addresses this challenge through a hybrid strategy combining direct and iterative solvers. Our method decomposes the simulation domain into element groups; the dynamics within each group are resolved using a pre-computed direct method, while inter-group interactions are handled by efficient iterative constraints. This domain decomposition enables significant pre-computation, replacing runtime equation solving with fast matrix-vector multiplications. Experimental results demonstrate that the method achieves a better balance of speed and accuracy, demonstrating higher fidelity than similarly fast methods. The method supports anisotropic materials and achieves low volume change (2.95% error) under nearly incompressible conditions. Furthermore, its group-based architecture exhibits high scalability on multi-core processors, reducing computation time to 19.6 ms for a 120,000-tetrahedron model using 64 threads. These characteristics make our method well-suited for demanding applications such as surgical simulation, haptic feedback systems, and real-time digital twins, where both accuracy and performance are critical.
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