Beijing Institute of Mathematical Sciences and Applications Beijing Institute of Mathematical Sciences and Applications

  • About
    • President
    • Governance
    • Partner Institutions
    • Visit
  • People
    • Management
    • Faculty
    • Postdocs
    • Visiting Scholars
    • Staff
  • Research
    • Research Groups
    • Courses
    • Seminars
  • Join Us
    • Faculty
    • Postdocs
    • Students
  • Events
    • Conferences
    • Workshops
    • Forum
  • Life @ BIMSA
    • Accommodation
    • Transportation
    • Facilities
    • Tour
  • News
    • News
    • Announcement
    • Downloads
About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > BIMSA Thursday Machine Learning Applications Seminar Fast algorithms for bio-inspired fluid simulations
Fast algorithms for bio-inspired fluid simulations
Organizers
Xiao Pei Jiao , Zhi Ting Ma , Fan Sheng Xiong , Wu Yue Yang
Speaker
Weifan Liu
Time
Thursday, May 30, 2024 3:30 PM - 5:00 PM
Venue
A3-1-301
Online
Zoom 815 762 8413 (BIMSA)
Abstract
The dynamics of microswimmers immersed in viscous fluid can be described by incompressible Stokes equation. We will discuss our recent work on the algorithms for two numerical challenges of the simulations of such problems. (1) Parallel-in-time algorithm: The long-time numerical simulations of biofluid applications often require the use of parallel computing methods due to high computation costs. However, the parallel speedup saturates as the number of computer cores increases if spatial parallelization alone is used. To resolve this problem, we develop a parallel-in-time method based on the Parareal algorithm for simulating biofluid problems. In particular, we develop novel non-intrusive coarse solvers for the serial sweeps of the Parareal algorithm. (2) Multigrid method: With numerical methods such as Method of Regularized Stokeslet (MRS), the Boundary Integral Equation (BIE) formulation, and the Boundary Element Method (BEM), given the fluid velocities at these points, the hydrodynamic forces can be obtained by solving the dense linear system described by a kernel function. We propose a multigrid solver for solving such a linear system using the data-sparsity of the matrix and the regularity of the geometry of the structures. Numerical experiments on a variety of bio-inspired microswimmers immersed in a Stokes flow demonstrate the effectiveness and efficiency of the proposed solvers.
Speaker Intro
Weifan Liu is a lecturer of Department of Mathematics at Beijing Forestry University. She received her Ph.D from Duke University in 2019, and was a Philip T. Church Postdoctoral Fellow at Syracuse University from 2019 to 2022. Her research interests are in fast algorithms and mathematical modeling for various problems that arise from biology and physics.
Beijing Institute of Mathematical Sciences and Applications
CONTACT

No. 544, Hefangkou Village Huaibei Town, Huairou District Beijing 101408

北京市怀柔区 河防口村544号
北京雁栖湖应用数学研究院 101408

Tel. 010-60661855
Email. administration@bimsa.cn

Copyright © Beijing Institute of Mathematical Sciences and Applications

京ICP备2022029550号-1

京公网安备11011602001060 京公网安备11011602001060