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Scientific Data and Knowledge Management in Aerospace Engineering

机译:航空航天工程中的科学数据和知识管理

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In aerospace engineering, simulation is a key technology. Examples are pre-design studies, optimization, systems simulation, or mission simulations of aircrafts and space vehicles. These kinds of complex simulations need two distinct technologies. First, highly sophisticated simulation codes for each involved discipline (for example, codes for computational fluid dynamics, structural analysis, or flight mechanics) to simulate the various physical effects. Secondly, a simulation infrastructure and well-designed supporting tools to work effectively with all simulation codes. This paper focuses on the infrastructure and the supporting tools, especially for managing both the data resulting from large-scale simulation and the necessary knowledge for conducting complex simulation tasks. Examples of recent developments at the German Aerospace Center in the fields of data and knowledge management to support aerospace research by e-Science technologies are presented.
机译:在航空航天工程中,仿真是一项关键技术。示例包括飞机和航天器的预设计研究,优化,系统仿真或任务仿真。这些复杂的模拟需要两种不同的技术。首先,针对每个涉及学科的高度复杂的模拟代码(例如,用于计算流体动力学,结构分析或飞行力学的代码),以模拟各种物理效果。其次,仿真基础架构和精心设计的支持工具可以有效地使用所有仿真代码。本文重点关注基础架构和支持工具,尤其是用于管理大规模仿真产生的数据以及执行复杂仿真任务所需的知识。本文介绍了德国航空航天中心在数据和知识管理领域的最新发展实例,以支持通过e-Science技术进行的航空航天研究。

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