A dynamic domain decomposition method for solving coupled multiphysics problems based on a distributed software agent environment

基于分布式软件代理环境求解耦合多物理场问题的动态域分解方法

• 批准号: 243604517
• 负责人: Professor Dr. Wolfgang M. Rucker
• 金额: --
• 依托单位: Institut für Automatisierungstechnik und Softwaresysteme (IAS)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2013
• 资助国家: 德国
• 起止时间: 2012-12-31 至 2017-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/243604517?language=en
• 关键词: dynamic; domain; decomposition; method; solving

The optimization of the efficient and flexible calculation process of complex three-dimensional coupled field problems, calculated by software agents, during run time is the goal of this project. Previous work shows, that the use of multiple software agents within a multi agent system using specialized algorithms of numerical field calculation such as the finite element method or boundary element method provide the efficient and flexible calculation. Therefore, the simulation is statically split on classes of problems like the included physics, its domains or available resources. The order of the separation is based on the strength of the expected coupling between the partial problems. This represents the usual approach to computations on distributed resources. The calculation of the partial problems as well as considering related couplings are done decentralized within the software agent system considering available computing resources, the capabilities of the calculation agent and their workload. A validation of the splitting - and thus also the coupling hierarchy is possible during runtime based on information, such as the convergence behaviour or the current state of partial calculations. Due to non-linear coupling between the partial problems, and due to the nondeterministic behaviour of every distributed cluster, a dynamic coupling hierarchy is numerically beneficial for the convergence of an iterative distributed calculation approach. Based on the existing agent system a dynamic consideration of the coupling is possible by an active coordination based on intelligent and learned decisions. Accordingly, the implementation of a learning system using a knowledge base for storable parameters of a coupled systems. This also includes the distributed, decentralized architecture where knowledge is not generated centrally, but on different units available only temporarily. Taken recommendations from the knowledge base into account is done within the numerical iterative solution procedure by adapting the calculation process. The final evaluation of the achieved results completes this project. It is done with special attention to the achieved optimization of coupled systems calculation calculated with decentralized and autonomously acting agents. An additional point is the comparability and gain achieved by the learning system.

通过软件代理在运行时计算复杂的三维耦合场问题，优化其高效灵活的计算过程是本项目的目标。以前的工作表明，在多代理系统中使用多个软件代理，使用数值计算的专门算法，如有限元法或边界元法，可以提供高效和灵活的计算。因此，模拟被静态地划分为问题的类别，如包含的物理，其域或可用资源。分离的顺序取决于部分问题之间预期耦合的强度。这代表了在分布式资源上进行计算的常用方法。考虑可用的计算资源、计算代理的能力和它们的工作量，在软件代理系统中分散地完成局部问题的计算和相关耦合的考虑。在运行时，可以根据信息（比如收敛行为或部分计算的当前状态）验证拆分和耦合层次结构。由于局部问题之间的非线性耦合以及每个分布式簇的不确定性行为，动态耦合层次结构在数值上有利于迭代分布式计算方法的收敛性。在现有智能体系统的基础上，通过基于智能和学习决策的主动协调，实现对耦合的动态考虑。据此，利用知识库实现了一个学习系统的可存储参数耦合系统。这也包括分布式、去中心化的体系结构，其中知识不是集中产生的，而是在不同的单元上暂时可用的。考虑到知识库中的建议，通过调整计算过程，在数值迭代求解过程中完成。取得的成果的最终评估完成了这个项目。特别注意了用分散和自主作用的agent计算的耦合系统的已实现优化。另外一点是学习系统的可比性和收益。

项目成果

Softwareagenten zur zuverlässigen Durchführung dezentraler multiphysikalischer Simulationen

用于可靠地执行分散多物理场仿真的软件代理

• DOI: 10.1515/auto-2017-0065
• 发表时间: 2017
• 期刊: at - Automatisierungstechnik
• 作者: D. Vögeli;N. Jazdi;S. Grabmaier;M. Jüttner;M. Weyrich;P. Göhner;W. M. Rucker
• 通讯作者: W. M. Rucker

Numerical framework for the simulation of dielectric heating using finite and boundary element method

使用有限和边界元方法模拟介电加热的数值框架

• DOI: 10.1002/jnm.2273
• 发表时间: 2018
• 期刊: International Journal of Numerical Modelling: Electronic Networks
• 作者: S. Grabmaier;M. Jüttner;D. Vögeli;W. M. Rucker;P. Göhner:
• 通讯作者: P. Göhner: