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.
Publisher
Publishing House ASV (Izdatelstvo ASV)
Subject
Mechanics of Materials,Building and Construction,Civil and Structural Engineering,Computational Mechanics
Reference11 articles.
1. 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.
2. 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
3. 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
4. Huhnt W. Reconstruction of edges in digital building models // Advanced Engineering Informatics (2018), Vol. 38, pp. 474-487.
5. 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.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献