权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Collaborative Research: Overcoming Order Reduction and Stability Restrictions in High-Order Time-Stepping

协作研究：克服高阶时间步长中的阶数降低和稳定性限制

基本信息

批准号：
1719693
负责人：
David Shirokoff
金额：
$ 19.58万
依托单位：
New Jersey Institute of Technology
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-01 至 2021-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1719693&HistoricalAwards=false
关键词：
Collaborative Research Overcoming Order Reduction

项目摘要

This project develops new computational approaches that remedy fundamental accuracy shortcomings of existing time-stepping methods, and increase their stability and robustness. A wide variety of practical applications, including fluid flows, quantum physics, heat and neutron transport, materials science, and many complex multi-physics problems, require the numerical simulation of models that involve a time evolution. This time evolution must be performed in a way that the high accuracy of modern computational methods is retained. This project addresses fundamental challenges that arise in this context, and delivers superior numerical methods that could replace existing time-stepping schemes currently used in computational science and engineering practice. This project provides a multi-institution collaboration, including two early-career researchers, and it involves the training of a PhD student.The research in this project addresses two aspects in high-order time-stepping: order reduction in Runge-Kutta methods; and unconditionally stable ImEx linear multistep methods. A specific focus lies on time-stepping for partial differential equations. For those, order reduction can be associated with numerical boundary layers, caused by multi-stage time-stepping schemes. Based on this geometric understanding of the phenomenon, remedies for order reduction are developed. This includes the concept of weak stage order, as well as modified boundary conditions. An alternative avenue to avoid order reduction is provided by multistep methods. The key challenge here is their rather restrictive stability behavior. Based on a new stability theory for ImEx multistep methods, this project develops novel schemes that can, for certain problems, achieve unconditional stability. The new schemes can be included into many existing computational codes via a simple modification of the time-stepping coefficients, thus enabling practitioners to select the time step based solely on accuracy considerations.

该项目开发了新的计算方法，弥补了现有时间推进方法的基本精度缺陷，并增加了它们的稳定性和稳健性。各种实际应用，包括流体流动、量子物理、热和中子输运、材料科学以及许多复杂的多物理问题，都需要对涉及时间演化的模型进行数值模拟。这种时间演化必须以一种保留现代计算方法的高精度的方式进行。该项目解决了在这种情况下出现的基本挑战，并提供了优秀的数值方法，可以取代目前在计算科学和工程实践中使用的现有时间步进方法。这个项目提供了一个多机构合作，包括两个职业生涯早期的研究人员，它包括一个博士研究生的培训。这个项目的研究涉及两个方面的高阶时间步长：Runge-Kutta方法的降阶和无条件稳定的IMEX线性多步方法。一个特别的焦点在于偏微分方程组的时间步长。对于这些问题，降阶可以与由多阶段时间步长格式引起的数值边界层相联系。基于对这一现象的几何理解，提出了降阶的补救措施。这包括弱阶段顺序的概念，以及修改后的边界条件。多步法提供了避免降阶的另一种途径。这里的关键挑战是它们相当严格的稳定行为。基于IMEX多步法的一个新的稳定性理论，这个项目开发了新的格式，对于某些问题，可以获得无条件的稳定性。通过对时间步进系数的简单修改，新的方案可以被包括在许多现有的计算代码中，从而使实践者能够仅基于精度考虑来选择时间步长。