A system for multibody analysis based on object-relational database technology

被引:0
|
作者
Tisell, C [1 ]
Orsborn, K [1 ]
机构
[1] Royal Inst Technol, Dept Machine Design, S-10044 Stockholm, Sweden
来源
ADVANCES IN ENGINEERING COMPUTATIONAL TECHNOLOGY | 1998年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An efficient support for computational technology and information management win be critical in future engineering information systems (EIS). This paper shows how it is possible to provide efficient data management capabilities to the discipline of multibody system (MBS) analysis. The MECHAMOS prototype of a MBS analysis tool has been developed that is based on modern database technology. An object relational database management system, AMOS, has been extended with additional mathematical functionality by the use of Matlab and MapleV as computational engines. The MBS model is represented as a database model in AMOS and the analysis is based on Kane's equations of motion. These equations of motion are derived on symbolic form using a computer algebra system. A crank-roller example is used to illustrate the functionality of the implementation. With this configuration, data is made fully accessible via the AMOSQL query language of AMOS. Hence, the MBS model can be represented and manipulated through a high-level query language that further extends the functionality of conventional MBS analysis. Furthermore, by providing the MBS application with general database technology, the data management will be more efficient. That is, it will be easier and more efficient to handle large amounts of data and the development and maintenance of MBS analysis system will be facilitated. Since MBS models are represented in a "neutral format" the reusability of these models increase and they will be more persistent to changes in the EIS environment.
引用
收藏
页码:273 / 285
页数:13
相关论文
共 50 条
  • [31] Information reuse and integration in object-relational database development
    Wang, Ming
    Zhang, Shu
    IRI 2007: PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION, 2007, : 55 - +
  • [32] New SQL standard for object-relational database applications
    Pardede, E
    Rahayu, JW
    Taniar, D
    STANDARDIZATION AND INNOVATION IN INFORMATION TECHNOLOGY, PROCEEDINGS, 2003, : 191 - 203
  • [33] A Fuzzy Temporal Object-Relational Database: Model and Implementation
    Miguel Medina, Juan
    Enrique Pons, J.
    Barranco, Carlos D.
    Pons, Olga
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2014, 29 (09) : 836 - 863
  • [34] An object-relational database infrastructure for interactive multimedia service
    Hu, MJ
    Miao, CY
    MULTIMEDIA STORAGE AND ARCHIVING SYSTEMS II, 1997, 3229 : 124 - 136
  • [35] Implementation of SQL Symbolic Extensions on Object-Relational Database
    Villalobos-Murillo, Johnny
    Brenes-Chavarria, Steven
    UNICIENCIA, 2015, 29 (02) : 15 - 38
  • [36] Object-relational database model to study renal development
    Hyink, DP
    FASEB JOURNAL, 2004, 18 (04): : A29 - A29
  • [37] A query system for object-relational databases
    Li, H
    Orlowska, ME
    Liu, CF
    PROCEEDINGS OF THE 9TH AUSTRALASIAN DATABASE CONFERENCE, ADC'98, 1998, 20 (02): : 39 - 50
  • [38] Object-Relational Database Structure Model and Structure Optimisation
    Auzins, Ainars
    Eiduks, Janis
    Vasilevska, Alina
    Dzenis, Reinis
    APPLIED COMPUTER SYSTEMS, 2018, 23 (01) : 28 - 36
  • [39] Parallel/distributed simulation with the COMPOSE object-relational database
    Wang, T
    Sheu, PCY
    Cotman, C
    Chubb, C
    1998 IEEE WORKSHOP ON APPLICATION-SPECIFIC SOFTWARE ENGINEERING AND TECHNOLOGY (ASSET 98) - PROCEEDINGS, 1998, : 162 - 165
  • [40] Visual SQL: Towards ER-Based Object-Relational Database Querying
    Thalheim, Bernhard
    Conceptual Modeling - ER 2008, Proceedings, 2008, 5231 : 520 - 521