Download PDFOpen PDF in browser

Optimizing Project Demolition Using Integrated Building Information Modelling (BIM) and Lean Construction Approach

9 pagesPublished: December 11, 2023

Abstract

Highest amount of Construction and Demolition (C&D) wastes are produced during the demolition phase of building lifecycle stages, which results in significant loss of natural resources, and exhibits adverse environmental impact globally. BIM processes and Lean principles have been used in improving demolition waste management on the individual aspect basis; however, the synergies of both these systems are not fully explored especially during demolition stage. This paper focuses on alignment of integrated Lean-BIM processes to optimize the waste reduction aspect during project demolition phase. The method involves (1) developing 3D BIM demolition model using a selected real-time demolition project as a case study, and (2) establishing a client’s need-based model of salvaged elements, using the developed 3D BIM model, for deciding the destination of demolished material as a Lean Construction approach. This approach can be expected to improve the rate of reuse and recycle of demolished material, that can ultimately lead to saving natural resources by sending less material to landfill/disposal sites.

Keyphrases: 3D model, Building Information Modeling (BIM), Demolition, Lean Construction

In: Tom Leathem, Wesley Collins and Anthony J. Perrenoud (editors). Proceedings of 59th Annual Associated Schools of Construction International Conference, vol 4, pages 758--766

Links:
BibTeX entry
@inproceedings{ASC2023:Optimizing_Project_Demolition_Using,
  author    = {Taha Khan and Zhili Gao},
  title     = {Optimizing Project Demolition Using Integrated Building Information Modelling (BIM) and Lean Construction Approach},
  booktitle = {Proceedings of 59th Annual Associated Schools of Construction International Conference},
  editor    = {Tom Leathem and Wes Collins and Anthony Perrenoud},
  series    = {EPiC Series in Built Environment},
  volume    = {4},
  pages     = {758--766},
  year      = {2023},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2632-881X},
  url       = {https://easychair.org/publications/paper/1NGW1},
  doi       = {10.29007/rlnb}}
Download PDFOpen PDF in browser