Journal of Astronautics ›› 2019, Vol. 40 ›› Issue (3): 277-285.doi: 10.3873/j.issn.1000-1328.2019.03.004

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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


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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