Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences


Theoretical and Natural Science

Vol. 14, 30 November 2023


Open Access | Article

Research on building deconstruction based on BIM technology

Zecheng Zhao * 1
1 University of Melbourne

* Author to whom correspondence should be addressed.

Theoretical and Natural Science, Vol. 14, 18-26
Published 30 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Zecheng Zhao. Research on building deconstruction based on BIM technology. TNS (2023) Vol. 14: 18-26. DOI: 10.54254/2753-8818/14/20240869.

Abstract

This paper delves into the revolutionary role of Building Information Modelling (BIM) technology in building deconstruction and its profound implications for sustainable development. Conventional demolition methods often neglect considerations of material reuse and environmental ramifications. BIM emerges as a versatile solution, offering sophisticated analytical tools that amplify efficiency, safety, and material traceability throughout the deconstruction process. In this paper, the lifecycle applications of BIM are further explored. Traversing from the planning stage to material handling and recycling, the important contribution of BIM to the circular economy is highlighted. Despite being in the nascent stages of adoption for building demolition, this paper posits that comprehensive integration of BIM holds the promise to fundamentally transform the construction sector, ensuring its alignment with sustainability objectives. Case studies and real-world applications are meticulously analysed to furnish empirical evidence corroborating these assertions, shedding light on the practical and environmental advantages of leveraging BIM in deconstruction.

Keywords

Building Information Modeling, Deconstruction, Sustainability

References

1. Akbarieh A, Jayasinghe L B, Waldmann D and Teferle F N 2020 BIM-Based End-of-Lifecycle Decision Making and Digital Deconstruction: Literature Review Sustainability. 12(7) 2670

2. Whole Building Design Guide Building Information Modeling (BIM) August, 17, 2022. Retrieved on September 26, 2023. Retrieved from: https://www.wbdg.org/bim

3. Zachary E. Z Four ways to maximize your BIM form the Construction Specifier September 3, 2013. Retrieved on September 26, 2023. Retrieved from: https://www.construction specifier.com/four-ways-to-maximize-your-bim/

4. Ponnada M R, Kameswari P 2015 Construction and Demolition Waste Management - A Review International Journal of Advanced Science and Technology 84 19-46.

5. Wang Z and Wang L 2015 Green Building Materials Management Based on BIM Technology ASCE library CCREM 9 170-177

6. Akinade O O, Oyedele L O, Omoteso K, Ajayi S O, Bilal M and Owolabi H A et al. 2017 BIM-based deconstruction tool: Towards essential functionalities International Journal of Sustainable Built Environment 6(1) 260-271

7. Cheng J C P and Ma L Y H 2013 A BIM-based system for demolition and renovation waste estimation and planning Waste Management 33(6) 1539-1551

8. Hu X, Zhou Y, Vanhullebusch S, Mestdagh R, Cui Z and Li J 2022 Smart building demolition and waste management frame with image-to-BIM Journal of Building Engineering 49 104058

9. Won J and Cheng J C P 2017 Identifying potential opportunities of building information modeling for construction and demolition waste management and minimization Automation in Construction 79 3-18

10. Pun S K, Liu C, Langston C and Treloar 2007 G Electronic Waste Exchange for Just-in-Time Building Demolition International Journal of Construction Management 7(2) 65-77

11. Li C Z, Xue F, Li X, Hong J and Shen G Q 2018 An Internet of Things-enabled BIM platform for on-site assembly services in prefabricated construction Automation in Construction 89 146-161

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).

Volume Title
Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
ISBN (Print)
978-1-83558-191-9
ISBN (Online)
978-1-83558-192-6
Published Date
30 November 2023
Series
Theoretical and Natural Science
ISSN (Print)
2753-8818
ISSN (Online)
2753-8826
DOI
10.54254/2753-8818/14/20240869
Copyright
30 November 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated