Issue |
E3S Web Conf.
Volume 85, 2019
EENVIRO 2018 – Sustainable Solutions for Energy and Environment
|
|
---|---|---|
Article Number | 08009 | |
Number of page(s) | 8 | |
Section | Other Topics in Built Environment | |
DOI | https://doi.org/10.1051/e3sconf/20198508009 | |
Published online | 22 February 2019 |
The implementation and role of geotechnical data in BIM process
Technical University of Civil Engineering of Bucharest, Geotechnical and Foundation Department, Romania
* Corresponding author: nadrem1992@gmail.com
Building Information Modeling (BIM) is becoming increasingly important tool in civil engineering both in the infrastructure design and construction process. BIM uses an intelligent model that provides a faster, more economical and less environmental impact for building and managing construction and infrastructure projects. Intelligent information model enable rich visualization, simulation and collaboration, which together allow better decision making throughout the project team. Major infrastructure projects that have a significant geotechnical and structural aspects may implement BIM tools and processes but often seem to neglect the geotechnical aspect of the model. This omission can lead to costly mistakes especially when the project is infrastructure-based. This paper reviews the current BIM implementations on major infrastructure projects and overseas and reviews how the inclusion of the geotechnical data in the BIM model can improve the models usefulness and the decision making process. The paper also investigates the reasons why the geotechnical data is not included and how these barriers can be removed so that the geotechnical and structural teams a fully integrated. The paper ends with a set of recommendations that, if adopted, could allow the engineering design team to produce innovative geotechnical systems and improve the cost effectiveness of construction.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.