Deconstruction waste management through 3d reconstruction and bim: a case study

Xin Janet Ge, Peter Livesey, Jun Wang, Shoudong Huang, Xiangjian He, Chengqi Zhang

Research output: Journal PublicationArticlepeer-review

44 Citations (Scopus)

Abstract

The construction industry is responsible for 50% of the solid waste generated worldwide. Governments around the world formulate legislation and regulations concerning recycling and re-using building materials, aiming to reduce waste and environmental impact. Researchers have also been developing strategies and models of waste management for construction and demolition of buildings. The application of Building Information Modeling (BIM) is an example of this. BIM is emergent technology commonly used to maximize the efficiency of design, construction and maintenance throughout the entire lifecycle. The uses of BIM on deconstruction or demolition are not common; especially the fixtures and fittings of buildings are not considered in BIM models. The development of BIM is based on two-dimensional drawings or sketches, which may not be accurately converted to 3D BIM models. In addition, previous researches mainly focused on construction waste management. There are few studies about the deconstruction waste management focusing on demolition. To fill this gap, this paper aims to develop a framework using a reconstructed 3D model with BIM, for the purpose of improving BIM accuracy and thus developing a deconstruction waste management system to improve demolition efficiency, effective recycling and cost savings. In particular, the developed as-built BIM will be used to identify and measure recyclable materials, as well as to develop a plan for the recycling process.

Original languageEnglish
Article number13
JournalVisualization in Engineering
Volume5
Issue number1
DOIs
Publication statusPublished - 1 Dec 2017
Externally publishedYes

Keywords

  • BIM
  • Deconstruction
  • Reconstructed 3D
  • Recycling building material
  • Sustainability
  • Waste management

ASJC Scopus subject areas

  • Modelling and Simulation
  • Engineering (miscellaneous)
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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