Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
---|---|---|
Article Number | 04006 | |
Number of page(s) | 5 | |
Section | Civil, Architectural Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202016504006 | |
Published online | 01 May 2020 |
Research on Evolutionary Design Method of BIM Technology in Highway Reconstruction and Expansion Project
1 Qilu Transportation Development Group Co., Ltd, Jinan, Shandong, 250001, China
2 Institute of Highway Science, Ministry of Transport, Beijing, 100088, China
BIM technology is widely used in expressway Construction projects. In the process of transforming two-dimensional design into three-dimensional design, there are still many problems that need to be solved urgently. Based on the Beijing-Shanghai highway reconstruction and expansion project, this paper proposes an evolutionary design method. Based on the application standard of project model technology, the method uses BIM model software, based on skeleton lines and templates, using EKL programming language to realize the structure size from coarse to fine, information from summary to detail, and progressive design method for component granularity from bottom to high. At the same time, a three-dimensional design method for automatically generating road centerlines is proposed. The results show that the evolutionary design method is in line with the current project habits, matching the existing design concepts, and can efficiently complete the design work at different stages, effectively avoiding a lot of repetitive work.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.