Adaptive Nonlinear Finite Elements for Deformable Body Simulation Using Dynamic Progressive Meshes |
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| Authors: | Xunlei Wu,Michael S. Downes,Tolga Goktekin,& Frank Tendick |
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| Affiliation: | Department of Mechanical Engineering, University of California, Berkeley, CA, USA 94720-1740,;Computer Science Division, University of California, Berkeley, CA, USA 94720-1776,;Department of Surgery, University of California, San Francisco, CA, USA 94143-0475 and Department of Bioengineering, University of California, Berkeley, CA, USA 94720-1770 |
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| Abstract: | Realistic behavior of deformable objects is essential for many applications such as simulation for surgical training. Existing techniques of deformable modeling for real time simulation have either used approximate methods that are not physically accurate or linear methods that do not produce reasonable global behavior. Nonlinear finite element methods (FEM) are globally accurate, but conventional FEM is not real time. In this paper, we apply nonlinear FEM using mass lumping to produce a diagonal mass matrix that allows real time computation. Adaptive meshing is necessary to provide sufficient detail where required while minimizing unnecessary computation. We propose a scheme for mesh adaptation based on an extension of the progressive mesh concept, which we call dynamic progressive meshes. |
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| Keywords: | behavioural animation and planning virtual humans animation inter-agents communication |
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