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Numerical Analysis and Methods for Fluid Deformable Surfaces and Their Interaction with the Bulk

Numerical Analysis and Methods for Fluid Deformable Surfaces and Their Interaction with the Bulk
流体变形表面及其与本体相互作用的数值分析和方法
批准号:
2011444
负责人:
Maxim Olshanskiy
金额:
$20.08万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-15 至 2023-06-30

项目摘要

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中文摘要
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英文摘要
Fluid surfaces that deform are ubiquitous in cell and tissue biology as well as in modeling of emulsions and foams. Computer modeling plays an increasingly important role in better understanding of processes involving such surfaces as well as interfacial phenomena. The present project aims to develop accurate and reliable numerical methods for the simulation of fluidic deformable surfaces and their interaction with the bulk. Development of such methods will facilitate understanding the functionality of lipid bilayers, the actin cortex, epithelial cell sheets, and the properties of other thin structures exhibiting in-plane viscosity and lateral mobility. The project provides research training for a graduate student.The project will consider models of fluids on surfaces. For these, continuum-based modeling leads to systems of partial differential equations posed on time-dependent manifolds. For example, lipid membranes are fluidic thin layers that can be modeled as two-dimensional viscous surface fluids with bending elasticity. The project will develop and analyze a geometrically unfitted finite element method for fluid systems posed on deformable surfaces such as surface Stokes and surface Navier-Stokes equations, tangential fluid equations coupled with in-plane elasticity and equations governing out-of-plane (geometrical) motions, as well as interface-bulk coupled fluid systems. The project focus is on splitting schemes for the resulting coupled systems. The methods build on formulation of governing equations in terms of tangential differential calculus and employ time-independent unfitted background meshes. The approach will allow for implicitly given complex shapes that may undergo topological transitions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(15)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.cma.2022.115122
发表时间: 2022
期刊: Computer Methods in Applied Mechanics and Engineering
影响因子: 7.2
作者: [Mamonov, Alexander V., Olshanskii, Maxim A.]
通讯作者: Olshanskii, Maxim A.
A Comparison of Cahn–Hilliard and Navier–Stokes–Cahn–Hilliard Models on Manifolds
Cahn-Hilliard 和 Navier-Stokes-Cahn-Hilliard 流形模型的比较
DOI: 10.1007/s10013-022-00564-5
发表时间: 2022
期刊: Vietnam Journal of Mathematics
影响因子: 0.8
作者: [Olshanskii, Maxim, Palzhanov, Yerbol, Quaini, Annalisa]
通讯作者: Quaini, Annalisa
DOI: 10.1515/cmam-2021-0185
发表时间: 2021-06
期刊: Computational Methods in Applied Mathematics
影响因子: 1.3
作者: [M. Olshanskii;A. Quaini;Qi Sun]
通讯作者: M. Olshanskii;A. Quaini;Qi Sun
DOI: 10.1007/s10915-021-01658-x
发表时间: 2021-01
期刊: Journal of Scientific Computing
影响因子: 2.5
作者: [M. Olshanskii;A. Quaini;Qi Sun]
通讯作者: M. Olshanskii;A. Quaini;Qi Sun
14
    Unfitted Finite Element Methods for Partial Differential Equations on Evolving Surfaces and Coupled Surface-Bulk Problems
    • 批准号:
      1717516
    • 项目类别:
      Standard Grant
    • 资助金额:
      $15.45万
    • 财政年份:
      2017
    • 负责人:
      Maxim Olshanskiy
    • 依托单位:
    Collaborative Research: Variational Structure Preserving Methods for Incompressible Flows: Discretization, Analysis, and Parallel Solvers
    • 批准号:
      1522252
    • 项目类别:
      Standard Grant
    • 资助金额:
      $9.0万
    • 财政年份:
      2015
    • 负责人:
      Maxim Olshanskiy
    • 依托单位:
    An Eulerian finite element method for partial differential equations posed on surfaces
    • 批准号:
      1315993
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $22.16万
    • 财政年份:
      2013
    • 负责人:
      Maxim Olshanskiy
    • 依托单位:
    国内基金
    海外基金
    Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
    Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
    • 批准号:
      --
    • 项目类别:
      外国学者研究基金项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      USHARANI HAREESH GOVINDARA JAN
    • 依托单位:
    基于Meta-analysis的新疆棉花灌水增产模型研究
    • 批准号:
      41601604
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      22.0万元
    • 批准年份:
      2016
    • 负责人:
      赵爱琴
    • 依托单位:
    大规模微阵列数据组的meta-analysis方法研究
    • 批准号:
      31100958
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      20.0万元
    • 批准年份:
      2011
    • 负责人:
      赵洪雅
    • 依托单位: