格子Boltzmann方法并行算法設(shè)計(jì)與數(shù)值模擬.pdf

1、華中科技大學(xué)碩士學(xué)位論文格子Boltzmann方法并行算法設(shè)計(jì)與數(shù)值模擬姓名：韓海鋒申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：計(jì)算數(shù)學(xué)指導(dǎo)教師：施保昌20041101IIAbstract Large scale computing is well recognized as the third significant method besides experimental and theoretical approaches. However,

2、 because of its hardware limitations, a single computer does not have the capability to satisfy the requirements of the large scale computing. High Performance Computing (HPC) becomes the only approa

3、ch for it. As we know, simulation of fluid flows is always one of the most important and challenging branches of HPC. Lattice Boltzmann method, emerging as a new numerical technique based on

4、 kinetic theory, is adapted to simulate fluid flows in recent years. This method is simple, and easy implementation of boundary conditions, intrinsically parallel. Significant progress has been achieved in

5、 employing the lattice Boltzmann equation for fluid dynamics and modeling complex physics in fluids recently, there still exist a lack of studies on High Performance Computing using LB method. In order to apply

6、LBM more efficiently, the author compares its parallel capacity under different communication models and different region partitions. We discuss the parallel implement using LBM method under RedHat Linux en

7、vironment. Based on ANSIC and MPI, we workout the parallel process of blocking communication mode and non- blocking communication mode about cavity flow problem, and see about its parallel ability under d

8、ifferent region partitions. A new phenomenon is found while the grid is refined. With parallel algorithms, we observe the periodic phenomena of 2- D cavity flow at Re=10000. A new phenomenon in 3- D cavi

9、ty flow is discovered, and the forecast in our previous work is proved true. Key words: lattice Boltzmann methods lid- driven cavity flow high performance computing numerical simulation spee