EMU: Efficient Muscle Simulation in Deformation Space
EMU: Efficient Muscle Simulation in Deformation Space
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DOI：
10.1111/cgf.14185
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发表时间：
2020-12-28
影响因子：
2.5
通讯作者：
Levin, D. I. W.
中科院分区：
文献类型：
--
作者：
Modi, V.;Fulton, L.;Levin, D. I. W.
EMU是一种高效且可扩展的模型，用于模拟具有异质材料的大块肌肉骨骼运动。首先，EMU不需要模型简化或几何粗化，因此与有限元模拟相比，其产生的结果在视觉上更准确。其次，EMU效率高，并且随着网格中单元数量的增加，其扩展性比最先进的有限元方法好得多，也更容易并行化。第三，EMU可以使用任意本构模型处理异质刚度网格，从而能够在一个统一的系统中模拟软肌肉、硬肌腱甚至更硬的骨骼。EMU的这三个关键特性使我们能够高效地协调肌肉激活的骨骼运动。我们通过一些涉及肌腱、肌肉、骨骼和关节的实例证明了我们方法的有效性。
EMU is an efficient and scalable model to simulate bulk musculoskeletal motion with heterogenous materials. First, EMU requires no model reductions, or geometric coarsening, thereby producing results visually accurate when compared to an FEM simulation. Second, EMU is efficient and scales much better than state-of-the-art FEM with the number of elements in the mesh, and is more easily parallelizable. Third, EMU can handle heterogeneously stiff meshes with an arbitrary constitutive model, thus allowing it to simulate soft muscles, stiff tendons and even stiffer bones all within one unified system. These three key characteristics of EMU enable us to efficiently orchestrate muscle activated skeletal movements. We demonstrate the efficacy of our approach via a number of examples with tendons, muscles, bones and joints.