Theme 5/6 High Performance Computing (HPC) and Simulation Knowledge Mining and Abstraction (SKMA)

主题5/6 高性能计算（HPC）和仿真知识挖掘和抽象（SKMA）

• 批准号: EP/K014188/1
• 负责人: Michael Payne
• 金额: $ 183.17万
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK014188%2F1
• 关键词: Theme; Performance; Computing; HPC; Simulation

It costs roughly £0.5 million to build a prototype of a car. Many prototypes need to be constructed during the process of designing a new vehicle and also when developing a new version of an existing vehicle. Clearly, anything that can reduce the number of prototypes needed will have a significant impact on the cost of automobile design. Simulation is already used extensively in the automotive industry. For instance, assessing car crash worthiness during the design process is now entirely performed computationally. The aim of the Programme for Simulation Innovation is to increase the use of simulation in car design. Indeed it can be seen as a further significant step towards the goal of 'virtual vehicle design' where the entire design process is carried out on the computer. However, increasing the amount of simulation used in the design process will significantly increase the demands on the computational ecosystem and, perhaps more seriously, introduce many layers of complexity which could lead to inefficient use of the computational ecosystem and poor decision making. Our work is targeted at addressing these potential problems by increasing the efficiency of individual computational tasks, automatically documenting simulation data to avoid misintepretation, allow data re-use and enable automated data archiving protocols and, finally, modelling the complexity of the virtual vehicle design task and, based on this, implementing rules to resolve conflicts in the computational and data flows and in the decision stages of the design process.

制造一辆汽车原型大约需要50万英镑。在设计新车的过程中以及在开发现有车辆的新版本时，需要构建许多原型。显然，任何可以减少所需原型数量的方法都将对汽车设计成本产生重大影响。仿真已经广泛应用于汽车行业。例如，在设计过程中评估汽车碰撞安全性现在完全通过计算来执行。模拟创新方案的目的是增加汽车设计中模拟的使用。事实上，它可以被看作是朝着“虚拟车辆设计”的目标迈出的又一重要步骤，在虚拟车辆设计中，整个设计过程都是在计算机上进行的。然而，增加设计过程中使用的仿真量将显著增加对计算生态系统的需求，并且可能更严重地引入许多复杂层，这可能导致计算生态系统的低效使用和决策制定。我们的工作旨在通过提高单个计算任务的效率来解决这些潜在的问题，自动记录仿真数据以避免误解，允许数据重用并启用自动数据存档协议，最后，对虚拟车辆设计任务的复杂性进行建模，并在此基础上，实施规则以解决计算和数据流以及设计过程的决策阶段中的冲突。

项目成果

Cartesian Cut-Cell and GFM Approaches to Free-Surface and Moving Boundary Interaction

• DOI: 10.2514/6.2016-0602
• 发表时间: 2016-01
• 作者: W. P. Bennett;L. Michael;N. Nikiforakis

A Multi-physics Methodology for Four States of Matter

• DOI: 10.1007/s42967-019-00047-4
• 发表时间: 2019-05
• 期刊: Communications on Applied Mathematics and Computation
• 影响因子: 1.6
• 作者: L. Michael;S. Millmore;N. Nikiforakis

A multi-physics methodology for the simulation of reactive flow and elastoplastic structural response

• DOI: 10.1016/j.jcp.2018.03.037
• 发表时间: 2017-10
• 期刊: J. Comput. Phys.
• 作者: L. Michael;N. Nikiforakis

A multi-physics methodology for the simulation of the two-way interaction of reactive flow and elastoplastic structural response

用于模拟反应流和弹塑性结构响应双向相互作用的多物理场方法

• DOI: 10.48550/arxiv.1710.01643
• 发表时间: 2017
• 作者: Michael L

A multi-physics methodology for four-states of matter

物质四种状态的多物理方法

• DOI: 10.48550/arxiv.1905.06620
• 发表时间: 2019
• 作者: Michael L