论文标题
FDA喷嘴基准测试的模拟:晶格Boltzmann研究
Simulation of the FDA Nozzle Benchmark: A Lattice Boltzmann Study
论文作者
论文摘要
背景和客观:与颅内血管中的流动相反,许多血流构型,例如在主动脉血管和动脉瘤中发现的血流构型涉及较大的雷诺数,因此涉及过渡或湍流条件。处理此类系统需要强大而有效的数值方法。方法:我们在这里评估了晶格玻尔兹曼求解器的性能,并在较高的雷诺数字上具有全面的HERMITE扩展和中央HERMITE矩碰撞算子,尤其是对于不足的模拟而言。为此,食品和药物管理局的基准喷嘴在涵盖所有制度的三个不同的雷诺数中考虑:1)层次的层次,雷诺数为500,2)雷诺数为3500美元的$ 3500 $,和3)低级湍流的雷诺(Reynolds Isserired)的雷诺(Lattoriald)的速度是6500的。通过粒子图像速度法获得。我们的结果表明,与整个喷嘴的实验测量结果很好,即使在分辨不足的模拟中,也证明了求解器的良好性能。结论:以这种方式,可以快速但足够准确的数值预测来实现医疗应用实际兴趣的流程配置。
Background and objective: Contrary to flows in small intracranial vessels, many blood flow configurations such as those found in aortic vessels and aneurysms involve larger Reynolds numbers and, therefore, transitional or turbulent conditions. Dealing with such systems require both robust and efficient numerical methods. Methods: We assess here the performance of a lattice Boltzmann solver with full Hermite expansion of the equilibrium and central Hermite moments collision operator at higher Reynolds numbers, especially for under-resolved simulations. To that end the food and drug administration's benchmark nozzle is considered at three different Reynolds numbers covering all regimes: 1) laminar at a Reynolds number of 500, 2) transitional at a Reynolds number of $3500$, and 3) low-level turbulence at a Reynolds number of 6500. Results: The lattice Boltzmann results are compared with previously published inter-laboratory experimental data obtained by particle image velocimetry. Our results show good agreement with the experimental measurements throughout the nozzle, demonstrating the good performance of the solver even in under-resolved simulations. Conclusion: In this manner, fast but sufficiently accurate numerical predictions can be achieved for flow configurations of practical interest regarding medical applications.