EXPLICIT DIGITAL MODELS OF LINEAR COMPLEXES

Main Article Content

Aleksandr Rozhkov
https://orcid.org/0000-0002-0729-5644
Vera Galishnikova

Abstract

It is obvious that the interoperability of existing digital models is insufficient. Current research on model view definitions and on their semantic enrichment addresses the issue of good interpretation of the results of existing models to improve interoperability. The alternative research presented in this paper is not concerned with interpretation. Instead, the influence of modifications in the geometric and topological concepts of the digital models themselves on their interoperability is investigated. The geometric and topological attributes of the models are made as explicit as possible. Two-dimensional line drawings are replaced by three-dimensional linear complexes to reduce the need for implicit information. The topology of a complex is described with topological tables containing all elements of the model, thus replacing the geometric neighborhood concept of the industry foundation classes. A highly efficient algorithm for the construction of new topological tables of large buildings is presented. The difficulties encountered in modifying existing topological tables are analyzed and solved. Topological and geometric aspects of linear complexes that cannot be treated explicitly with topological tables are identified and presented.

Downloads

Download data is not yet available.

Article Details

How to Cite
Rozhkov, A., & Galishnikova, V. (2022). EXPLICIT DIGITAL MODELS OF LINEAR COMPLEXES. International Journal for Computational Civil and Structural Engineering, 18(4), 101–110. https://doi.org/10.22337/2587-9618-2022-18-4-101-110
Section
Articles

References

Borrmann A., Beetz J., Koch C. et al. Section 5.7. Geometric Representations. In: Borrmann A., König M., Koch C., Beetz J., eds. Building Information Modelling. Cham: Springer; 2018, pp. 101-111. DOI: https://doi.org/10.1007/978-3-319-92862-3

van Berlo L. et al. Future of the Industry Foundation Classes: towards IFC 5, in: Proc. of the 38th International Conference of CIB W78, Luxembourg, October 11-15, 2021, pp. 123-137

Huhnt W., Galishnikova V. Partitioning of space as basis for data structures to describe digital building models, in: Proc. of the 17th International Conference on Computing in Civil and Building Engineering, Tampere, Finland, 2018, pp. 42-49

Huhnt W. Reconstruction of edges in digital building models // Advanced Engineering Informatics (2018), Vol. 38, pp. 474-487. DOI: https://doi.org/10.1016/j.aei.2018.08.004

Huhnt W., Hartmann T., Suter G. Space classification from point clouds of indoor environments based on reconstructed topology. In: Smith I., Domer B., eds. Advanced Computing Strategies for Engineering, 25th EG-ICE International Workshop. Cham: Springer; 2018, Vol. 10863, pp. 82-102. DOI: https://doi.org/10.1007/978-3-319-91635-4_5

Kraft B., Huhnt W. Geometrically Complete Building Models // Proc. of the 21th International Workshop of the European Group for Intelligent Computing in Engineering, UK, Cardiff, 2014

Belsky M., Sacks R., Brilakis I. Semantic Enrichment for Building Information Modeling // Computer-Aided Civil and Infrastructure Engineering (2016), Vol. 31, No. 4. pp. 261-274. DOI: https://doi.org/10.1111/mice.12128

Steinmann R. IFC Certification 3.0: Specifications and Terms and Conditions. BuildingSMART International Ltd., UK; 2018. URL https://www.buildingsmart.org

National BIM Standard-United States Version 2 (NBIMS-US 2012). The National Institute of Building Sciences

Hietanen J., Find S. IFC model view definition format, in: Proceedings of the 24th International Conference of CIB W78, Maribor, Slovenia, June 27-29, 2007, pp. 1-29

Bloch T., Sacks R. Clustering Information Types for Semantic Enrichment of Building Information Models to Support Automated Code Compliance Checking // J. Comput. Civ. Eng. (2020), Vol. 34, No. 6, 04020040 DOI: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000922

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.