Volumetric Evaluation of Column Reinforcement using Building Information Modeling
- DOI
- 10.2991/978-94-6463-475-4_34How to use a DOI?
- Keywords
- Autodesk Revit; Building Information Modeling (BIM); Quantity Take Off (QTO)
- Abstract
This study aims to determine the volumetric results of column reinforcement in reinforced concrete/Quantity Take Off (QTO) based on Building Information Modeling (BIM) and compare them with conventional calculations. With a case study of 4 buildings, namely, the Integrated Surgical Treatment Building of RSUD Dr. H. Abdul Moeloek (Zone A), the Integrated Surgical Treatment Building of RSUD Dr. H. Abdul Moeloek (Zone B), the Neurology Treatment Building of RSUD Dr. H. Abdul Moeloek, and the UT Lampung Distance Learning Unit (UPBJJ) Building. The building modeling is done using Autodesk Revit software. Based on the modeling results, the BIM-based Quantity Take Off is able to calculate the column reinforcement volume in more detail according to the design drawing. The QTO value of column reinforcement is 74197.51 kg for Case 1, 74011.09 kg for Case 2, 27671.78 kg for Case 3, and 31597.29 kg for Case 4. Comparison of Quantity Take Off shows the results, BIM is lower by 2%–3.15%, or an average of 2.75%, but BIM has modeled the reinforcement as a whole including the hook length and channel length of column reinforcement.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - H. R. Husni AU - B. Bayzoni PY - 2024 DA - 2024/08/02 TI - Volumetric Evaluation of Column Reinforcement using Building Information Modeling BT - Proceedings of the 1st International Conference on Industry Science Technology and Sustainability (IConISTS 2023) PB - Atlantis Press SP - 406 EP - 418 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-475-4_34 DO - 10.2991/978-94-6463-475-4_34 ID - Husni2024 ER -