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Numerical Methods for Nonlocal Models with Applications to Multiscale and Nonlinear Systems

非局部模型的数值方法及其在多尺度和非线性系统中的应用

基本信息

批准号：
2111608
负责人：
Xiaochuan Tian
金额：
$ 20万
依托单位：
University of California-San Diego
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-07-15 至 2024-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2111608&HistoricalAwards=false
关键词：
Numerical Methods Nonlocal Models Applications

项目摘要

Partial differential equations form an integral part of modern sciences. However, they have limitations as models for our increasingly connected world as well as for extreme and anomalous events such as financial crisis, material failures, and disease outbreaks. Other nonlocal equations in contrast are useful for models of traffic flow, epidemics, materials with defects, population and flocking dynamics, and finance, as well as for image and data analysis. This project develops systematic mathematical frameworks with efficient and reliable numerical methods for nonlocal models with applications to several important multiscale and nonlinear systems of importance in modern sciences and society. Students will be involved and trained in interdisciplinary research. The project comprises three sub-projects. The first is concerned with the important issue of designing efficient numerical algorithms for systems formulated on unbounded domains. The project will use an approach of a reflectionless perfectly matched layer for nonlocal wave equations; rigorous numerical studies will be conducted and a systematic understanding of the discrete and continuous perfectly matched layers for nonlocal waves will be provided. The second sub-project aims at developing asymptotically compatible finite element schemes for non-self-adjoint and nonlinear systems; the project will develop new theories for singular perturbed nonlocal convection-dominated diffusion problems and semi-linear nonlocal problems that are crucial for the robust simulation of parametrized nonlocal models. The third sub-project aims at providing easily implementable positivity-preserving meshfree finite difference discretization for a class of nonlocal operators; the project will tackle stability issues while maintaining the positivity-preserving properties and other advantages of meshfree methods.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.

偏微分方程是现代科学的一个组成部分。然而，它们作为我们日益联系的世界以及极端和异常事件（如金融危机，材料故障和疾病爆发）的模型存在局限性。相比之下，其他非局部方程对交通流、流行病、有缺陷的材料、人口和群集动力学、金融以及图像和数据分析的模型都很有用。该项目开发了系统的数学框架，为非局部模型提供了有效和可靠的数值方法，并应用于现代科学和社会中几个重要的多尺度和非线性系统。学生将参与并接受跨学科研究的培训。该项目包括三个分项目。第一个是关于设计有效的数值算法的系统制定无界域的重要问题。该项目将采用无反射完全匹配层的方法处理非局部波方程;将进行严格的数值研究，并将提供对非局部波的离散和连续完全匹配层的系统了解。第二个子项目旨在为非自伴和非线性系统开发渐近相容的有限元格式;该项目将为奇异扰动非局部对流主导扩散问题和半线性非局部问题开发新的理论，这些问题对于参数化非局部模型的鲁棒模拟至关重要。第三个子项目旨在为一类非局部算子提供易于实现的保正无网格有限差分离散;该项目将解决稳定性问题，同时保持保正属性和无网格方法的其他优点。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Efficient optimization-based quadrature for variational discretization of nonlocal problems

DOI：
10.1016/j.cma.2022.115104
发表时间：
2022-01
期刊：
ArXiv
影响因子：
0
作者：
M. Pasetto;Zhaoxiang Shen;M. D'Elia;Xiaochuan Tian;Nathaniel Trask;D. Kamensky
通讯作者：
M. Pasetto;Zhaoxiang Shen;M. D'Elia;Xiaochuan Tian;Nathaniel Trask;D. Kamensky

An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems

随机异构非局部问题的渐近相容概率配置方法