.png){kind=icon}
返回
Efficient symmetric positive definite second-order accurate monolithic solver for fluid/solid interactions
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jcp.2012.01.009.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We introduce a robust and efficient method to simulate strongly coupled (monolithic) fluid/rigid-body interactions. We take a fractional step approach, where the intermediate state variables of the fluid and of the solid are solved independently, before their interactions are enforced via a projection step. The projection step produces a symmetric positive definite linear system that can be efficiently solved using the preconditioned conjugate gradient method. In particular, we show how one can use the standard preconditioner used in standard fluid simulations to precondition the linear system associated with the projection step of our fluid/solid algorithm. Overall, the computational time to solve the projection step of our fluid/solid algorithm is similar to the time needed to solve the standard fluid-only projection step. The monolithic treatment results in a stable projection step, i.e. the kinetic energy does not increase in the projection step. Numerical results indicate that the method is second-order accurate in the L-infinity-norm and demonstrate that its solutions agree quantitatively with experimental results. (C) 2012 Elsevier Inc. All rights reserved.
Keyword:
Fluid
Solid
Rigid body
Interaction between fluid and solid
Level-set method
Navier-Stokes equations
期刊
IF:
3.8
论文数:
1.6W
被引数:
7.4W
机构
引用论文
7-Eleven Japan and Toyota will launch joint convenience store project in autumn 20197-Eleven日本和丰田将在2019秋季推出联合便利店项目
.png){kind=icon}
PREAI
分享收藏
分享收藏A calcineurin- and NFAT-dependent pathway regulates Myf5 gene expression in skeletal muscle reserve cells钙调神经磷酸酶和NFAT依赖性途径调节骨骼肌储备细胞中Myf5基因的表达
PREAI
分享收藏
查看更多内容