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Extending IFC for multi-component subgrade modeling in a railway station.

Authors :
Pu, Hao
Fan, Xiaomeng
Schonfeld, Paul
Li, Wei
Zhang, Wei
Wei, Fanghua
Wang, Peng
Li, Changhuai
Source :
Automation in Construction. Sep2022, Vol. 141, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

The BIM modeling of Multi-Component Subgrade in a Railway Station (MCSRS) suffers from an inefficient manual approach due to its specific features and absence of a data standard. The Industry Foundation Classes (IFC) has been widely used for describing various components in the building industry while its current version fails to depict an MCSRS. In this study, the IFC is extended to describe the geometric information and hierarchy for an MCSRS, based on which an automatic workflow for converting the original design data to the corresponding 3D BIM model complying with IFC standard is developed. To validate the methodology, a real-world case is used for testing the modeling result, in which several different modeling cases between two cross-sections are examined. The results show that the BIM modeling for an MCSRS is greatly accelerated compared with the manual modeling approach and can be used as a cross-platform tool. • A principle for modeling multi-component subgrades in a railway station is proposed. • An ontology is defined to semantically describe the multi-component subgrade in a railway station. • The latest IFC standard is enriched based on the classes and properties defined in the ontology. • A modeling workflow is developed to generate an IFC data file and import the data file to create the BIM model. • A real-world railway station is used for performing case study. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09265805
Volume :
141
Database :
Academic Search Index
Journal :
Automation in Construction
Publication Type :
Academic Journal
Accession number :
158565385
Full Text :
https://doi.org/10.1016/j.autcon.2022.104433