论文标题

EMU:变形空间中有效的肌肉模拟

EMU: Efficient Muscle Simulation In Deformation Space

论文作者

Modi, Vismay, Fulton, Lawson, Sueda, Shinjiro, Jacobson, Alec, Levin, David I. W.

论文摘要

EMU是一种有效且可扩展的模型,用于使用异源物质模拟大量肌肉骨骼运动。首先,EMU不需要降低模型或几何变色,因此与FEM模拟相比,在视觉上产生结果。其次,EMU具有有效的效率,并且比最新的fem缩放得多,并且具有网格中的元素数量,并且更容易平行。第三,EMU可以使用任意本构模型处理异质的硬网格,从而使其能够模拟软肌肉,僵硬的肌腱甚至更硬的骨骼,均在一个统一系统中。 EMU的这三个关键特征使我们能够有效编排肌肉活化的骨骼运动。我们通过许多肌腱,肌肉,骨骼和关节的例子证明了方法的功效。

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.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源