Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 85-97 |
| Number of pages | 12 |
| Journal | Engineering with Computers |
| Volume | 31 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2013 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- data management
- multibody application
- reasoning
- semantic data model
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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 journal › Article › Scientific › peer-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
Y1 - 2013
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.
KW - data management
KW - multibody application
KW - reasoning
KW - semantic data model
U2 - 10.1007/s00366-013-0326-x
DO - 10.1007/s00366-013-0326-x
M3 - Article
VL - 31
SP - 85
EP - 97
JO - Engineering with Computers
JF - Engineering with Computers
SN - 0177-0667
IS - 1
ER -