GPU implementation of lattice Boltzmann method for time-resolved three-dimensional flow with complex and moving boundary: in-vitro and in-vivo experimental validation

GPU 实现具有复杂移动边界的时间分辨三维流的格子玻尔兹曼方法：体外和体内实验验证

• 批准号: 386636-2010
• 负责人: Kauffmann, Claude
• 金额: $ 2.11万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Group
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=510048
• 关键词: GPU; implementation; lattice; Boltzmann; method

Context: Finite element method (FEM) is widely applied to manifold areas of computational fluid dynamics (CFD). FEM, however, may be limited in the presence of time-dependent fluid geometries. Dealing with large deformations requires particular procedures like remeshing that may increase computation time considerably and introduce additional inaccuracy into the solution. The so-called Lattice Boltzmann method (LBM) can provide accurate and stable simulations even with extremely deformable geometries.

有限元法（FEM）被广泛应用于计算流体力学（CFD）的各个领域.然而，有限元法可能会受到限制的存在下，随时间变化的流体几何形状。处理大的变形需要特殊的程序，如重新划分网格，这可能会大大增加计算时间，并将额外的不准确性引入到解决方案中。所谓的格子玻尔兹曼方法（LBM）可以提供准确和稳定的模拟，即使是极端变形的几何形状。