Semantic restrictions and rules in applications of multibody dynamics

Juha Kortelainen (Corresponding Author), A. Mikkola

    Research output: Contribution to journalArticleScientificpeer-review

    2 Citations (Scopus)

    Abstract

    Application of computational methods, including multibody system simulation, has become a common approach in the product development of mechanical systems and machines. Computational methods enable the efficient study of the kinematics and dynamics of mechanical systems being developed, and thus reduce development costs of the product. The increasing application of computational methods in product development processes has resulted in a new problem; the management and efficient utilisation of massive amounts of new design data. Because of the amounts, intelligent computational systems are needed for efficient use of the data coming, e.g. from multibody system simulations. This article introduces the use of semantic restrictions and rules in an ontology-based multibody system modelling approach. It discusses the benefit of separating modelling data and domain data semantics from the modelling and simulation tools and develops an improved multibody system modelling ontology with general modelling restrictions and rules, demonstrating its application with a simple example. The application of modelling case-specific rules is also demonstrated with an example.
    Original languageEnglish
    Pages (from-to)85-97
    Number of pages12
    JournalEngineering with Computers
    Volume31
    Issue number1
    DOIs
    Publication statusPublished - 2013
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Multibody Dynamics
    Multibody Systems
    Computational methods
    Semantics
    Computational Methods
    Restriction
    Product Development
    System Simulation
    System Modeling
    Product development
    Mechanical Systems
    Ontology
    Data Modeling
    Simulation Tool
    Modeling
    Development Process
    Data structures
    Modeling and Simulation
    Kinematics
    Costs

    Keywords

    • data management
    • multibody application
    • reasoning
    • semantic data model

    Cite this

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    title = "Semantic restrictions and rules in applications of multibody dynamics",
    abstract = "Application of computational methods, including multibody system simulation, has become a common approach in the product development of mechanical systems and machines. Computational methods enable the efficient study of the kinematics and dynamics of mechanical systems being developed, and thus reduce development costs of the product. The increasing application of computational methods in product development processes has resulted in a new problem; the management and efficient utilisation of massive amounts of new design data. Because of the amounts, intelligent computational systems are needed for efficient use of the data coming, e.g. from multibody system simulations. This article introduces the use of semantic restrictions and rules in an ontology-based multibody system modelling approach. It discusses the benefit of separating modelling data and domain data semantics from the modelling and simulation tools and develops an improved multibody system modelling ontology with general modelling restrictions and rules, demonstrating its application with a simple example. The application of modelling case-specific rules is also demonstrated with an example.",
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    author = "Juha Kortelainen and A. Mikkola",
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    Semantic restrictions and rules in applications of multibody dynamics. / Kortelainen, Juha (Corresponding Author); Mikkola, A.

    In: Engineering with Computers, Vol. 31, No. 1, 2013, p. 85-97.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Semantic restrictions and rules in applications of multibody dynamics

    AU - Kortelainen, Juha

    AU - Mikkola, A.

    N1 - Project code: 78634

    PY - 2013

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    N2 - Application of computational methods, including multibody system simulation, has become a common approach in the product development of mechanical systems and machines. Computational methods enable the efficient study of the kinematics and dynamics of mechanical systems being developed, and thus reduce development costs of the product. The increasing application of computational methods in product development processes has resulted in a new problem; the management and efficient utilisation of massive amounts of new design data. Because of the amounts, intelligent computational systems are needed for efficient use of the data coming, e.g. from multibody system simulations. This article introduces the use of semantic restrictions and rules in an ontology-based multibody system modelling approach. It discusses the benefit of separating modelling data and domain data semantics from the modelling and simulation tools and develops an improved multibody system modelling ontology with general modelling restrictions and rules, demonstrating its application with a simple example. The application of modelling case-specific rules is also demonstrated with an example.

    AB - Application of computational methods, including multibody system simulation, has become a common approach in the product development of mechanical systems and machines. Computational methods enable the efficient study of the kinematics and dynamics of mechanical systems being developed, and thus reduce development costs of the product. The increasing application of computational methods in product development processes has resulted in a new problem; the management and efficient utilisation of massive amounts of new design data. Because of the amounts, intelligent computational systems are needed for efficient use of the data coming, e.g. from multibody system simulations. This article introduces the use of semantic restrictions and rules in an ontology-based multibody system modelling approach. It discusses the benefit of separating modelling data and domain data semantics from the modelling and simulation tools and develops an improved multibody system modelling ontology with general modelling restrictions and rules, demonstrating its application with a simple example. The application of modelling case-specific rules is also demonstrated with an example.

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