宇航学报

宇航学报 ›› 2019, Vol. 40 ›› Issue (3): 277-285.doi: 10.3873/j.issn.1000-1328.2019.03.004

• 飞行器设计与力学 • 上一篇    下一篇

运载火箭晃动分析中知识模型的构建及应用

孙杭，郑宇，李少阳   

  1. 1. 上海交通大学机械与动力工程学院，上海200240；2. 上海市网络化制造与企业信息化重点实验室，上海 200240；
    3. 上海宇航系统工程研究所，上海 201108
  • 收稿日期:2018-05-21 修回日期:2018-08-14 出版日期:2019-03-15 发布日期:2019-03-25
  • 基金资助:

    国家自然科学基金（51505286）；国家科技支撑计划（2015BAF18B02）

Construction and Applications of Knowledge Model in Sloshing Analysis for Launch Vehicle

SUN Hang, ZHENG Yu, LI Shao yang   

  1. 1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2.Shanghai Key Laboratory of Advanced Manufacturing Environment, Shanghai 200240, China; 3. Shanghai Aerospace System Engineering Institute, Shanghai 201108, China
  • Received:2018-05-21 Revised:2018-08-14 Online:2019-03-15 Published:2019-03-25

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摘要：

为了改变传统方法所实现的运载火箭晃动分析计算程序结构固定、缺乏灵活性、不能根据不同的使用场景自发完成不同计算任务的问题，利用本体理论和方法，将领域知识解决实际问题的过程抽象为决策知识引导应用单元执行的过程模型。根据建立的模型，从晃动分析相关领域知识中剥离出决策节点和应用单元，再通过决策节点重构决策知识，最终实现决策知识引导应用单元完成晃动计算。最后利用本体OWL语言实现决策节点重构决策知识，并开发了基于本体的火箭晃动计算分析软件模块，实现了分析计算知识的公用性、可拓展性和配置灵活性，为快速、智能化的专业分析计算提供借鉴。

关键词: 晃动分析, 知识建模, OWL, 系统实现

Abstract:

The traditional launch vehicle sloshing analysis (LVSA) method has a fixed structure and lacks flexibility, and can’t adaptively and spontaneously complete the computing tasks to different usage scenarios. According to these problems, a novel knowledge application process model/method is proposed based on the ontology theory to abstract and transform the process by which the practical problems are solved using the domain knowledge, into a new procedural model where the application units are guided to be executed using the decisive knowledge. With this model, the decisive nodes and the application units are dissociated from the relevant domain knowledge of LVSA. Then the decisive knowledge is reconstructed by the decisive nodes based on the OWL. And the software module of the launch vehicle sloshing calculation and analysis based on ontology is developed. In summary, this method realizes the commonality for the analytical and computational knowledge, the flexibility for configuration and the expansibility in changeful environment, providing reference for rapid and intelligent analysis and computation.

Key words: Sloshing analysis, Knowledge modeling, OWL, System implementation

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