发展爆炸损伤建模能力:国防M&S领域概念的应用

Ryan Byrne, Nichole Davis, Raj Gupta, Anthony C. Santago, A. Tolk
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引用次数: 0

摘要

计算能力的提高使得人们对使用建模和仿真(M&S)来更好地了解和解决美国服役人员的爆炸伤害越来越感兴趣。发展一种能够全面模拟军事环境中人体伤害、致命性和爆炸伤害威胁造成的损伤的M&S能力,需要对许多模型和模拟进行大规模、协调的集成。这篇文章描述了如何从国防M&S领域吸取各种经验教训,通过为基于仿真的实验提供仿真功能,来支持爆炸损伤建模能力的未来发展。它首先从概念上解决了当可以或必须应用多个模拟并可能为实验组合时的互操作性挑战。这导致为建模能力的应用开发一个拟议的操作概念,并开发一个服务框架,以允许识别适用的模拟解决方案,选择这些模拟的子集,将它们组合起来用于实验,并评估结果。作为一项新生的努力,我们讨论了实现这些概念的预期挑战,并利用有关互操作性、可组合性、服务使用、存储库和模拟组合开发的经验教训来进行基于模拟的实验。
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Developing a Blast Injury Modeling Capability: Application of Concepts from the Defense M&S Domain
Increases in computational power have contributed to growing interest in using modeling and simulation (M&S) to better understand and address blast injury for US service members. The development of an M&S capability that can comprehensively simulate human injury, lethality, and impairment due to blast injury threats in the military environment requires a large, coordinated integration of many models and simulations. This contribution describes how various lessons learned from the defense M&S domain were used to support the future development of an envisioned Modeling Capability for blast injury by providing simulation functionality for simulation-based experimentation. It first addresses conceptually the interoperability challenges when more than one simulation can be or must be applied and possibly composed for the experiment. This leads to the development of a proposed concept of operations for the application of the Modeling Capability and the development of a framework of services needed to allow the identification of an applicable simulation solution, selecting the subset of those simulations, composing them for the experiment, and assessing the results. As a nascent endeavor, anticipated challenges for implementing these concepts are discussed, leveraging lessons learned regarding interoperability, composability, use of services, repositories, and development of simulation compositions to conduct simulation-based experiments.
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来源期刊
CiteScore
2.80
自引率
12.50%
发文量
40
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