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Collaborative Research: Adaptive Mixed-Dimensional Modeling and Simulation of Porous Media

Collaborative Research: Adaptive Mixed-Dimensional Modeling and Simulation of Porous Media
协作研究:多孔介质的自适应混合维建模与仿真
批准号:
2208249
负责人:
Ludmil Zikatanov
金额:
$21.03万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-08-01 至 2025-07-31

项目摘要

项目成果

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中文摘要
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英文摘要
The overall goal of this research project is to develop, analyze, and implement stable numerical methods for the simulation of flow in fractured porous media, based on mixed-dimensional modeling. Fractured porous media flow is multi-physics and multi-scale, and the development of robust and effective numerical tools for such systems represents a class of important challenges in computational mathematics. For example, in many practical applications fractures or other features, such as capillaries in the brain, are lower-dimensional and interact in a complex way through the three-dimensional domains encapsulating them. Important applications of fractured porous media include hydraulic fracturing, waste deposition, and models from biomechanics. The project aims to provide new computational paradigms, promote the usage of mixed-dimensional modeling in these and related fields, and alleviate current limitations in computer simulations. The techniques will be implemented in an open-source software package and will be made available to the scientific community. In this project, three important aspects of mixed-dimensional modeling and simulation will be investigated. The first research objective is to design advanced stable discretizations, which couple stabilized schemes for linear elasticity with structure-preserving discretizations for Darcy flow in a mixed-dimensional setting. Stability and mass conservation will be achieved using a minimal number of degrees of freedom. The second objective is adaptive approximations in the mixed-dimensional framework. Space-time adaptivity will be developed and implemented to improve accuracy with solid theoretical foundations. The third objective is to study robust linear solvers for the resulting discrete linear systems. Based on physical and mathematical properties of the mixed-dimensional models and their numerical discretizations, new block preconditioners and monolithic multigrid methods will be developed. Robustness with respect to physical and discretization parameters will be justified both theoretically and numerically. The main application of this project is linear poromechanics in fractured porous media, but possible generalizations to nonlinear formulations will also be investigated, including several applications in physics and engineering.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(3)
专著(0)
科研奖励(0)
会议论文
Automatic coarsening in Algebraic Multigrid utilizing quality measures for matching-based aggregations
利用质量测量进行基于匹配的聚合的代数多重网格中的自动粗化
DOI: 10.1016/j.camwa.2023.06.026
发表时间: 2023
期刊: Computers & Mathematics with Applications
影响因子: 2.9
作者: [D'Ambra, Pasqua, Durastante, Fabio, Filippone, Salvatore, Zikatanov, Ludmil]
通讯作者: Zikatanov, Ludmil
Rational approximation preconditioners for multiphysics problems
多物理场问题的有理逼近预处理器
DOI: --
发表时间: 2023
期刊: Lecture notes in computer science
影响因子: --
作者: [Ana Budisa, Xiaozhe Hu]
通讯作者: Ana Budisa, Xiaozhe Hu
Collaborative proposal: Workshop on Numerical Modeling with Neural Networks, Learning, and Multilevel Finite Element Methods
Multilevel Methods for Numerical Modeling with Applications in Hydrogeology
Upscaling and multilevel methods for three dimensional elasticity via element agglomeration
Collaborative Research: Algebraic Multigrid Methods: Multilevel Theory and Practice
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)