BIM and Knowledge Graph-Based Building Material Recycle and Reuse Assessment Framework

Zheng Lu, Chuting Sun, Yuqing Hu, Akhil Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Construction waste has always been the primary source of solid waste. In the United States, more than 600 million tons of construction and demolition wastes (CD&W) are generated annually, and plenty of construction waste, including concrete, bricks, and wood, will be landfilled directly. In recent years, people gradually realized the importance of reducing construction waste and developed a variety of methods to address the problems. However, there are still millions of tons of recyclable and reusable materials thrown away during the building demolition process because there is a lack of systematic understanding of options with respect to material types, conditions, and the complex value chains of a circular materials system, which leads both the demand and supply sides to underestimate building materials' salvaged value. The paper sets out to address the problem by proposing a general framework that focuses on constructing a knowledge graph to evaluate building materials' potential salvage methods based on material type, usage duration, weather conditions, and local policy. Once the fundamental framework is established, the objective is to integrate the knowledge graph with BIM in order to automatically determine the condition of materials for salvage. This includes quantifying reusable and recyclable building materials and deducing their appropriate salvage methods.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2023
Subtitle of host publicationVisualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
EditorsYelda Turkan, Joseph Louis, Fernanda Leite, Semiha Ergan
PublisherAmerican Society of Civil Engineers (ASCE)
Pages517-525
Number of pages9
ISBN (Electronic)9780784485231
DOIs
StatePublished - 2024
EventASCE International Conference on Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation, i3CE 2023 - Corvallis, United States
Duration: Jun 25 2023Jun 28 2023

Publication series

NameComputing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation, i3CE 2023
Country/TerritoryUnited States
CityCorvallis
Period6/25/236/28/23

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Civil and Structural Engineering

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