TY - GEN
T1 - BIM and Knowledge Graph-Based Building Material Recycle and Reuse Assessment Framework
AU - Lu, Zheng
AU - Sun, Chuting
AU - Hu, Yuqing
AU - Kumar, Akhil
N1 - Publisher Copyright:
© 2024 Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023. All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
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U2 - 10.1061/9780784485231.062
DO - 10.1061/9780784485231.062
M3 - Conference contribution
AN - SCOPUS:85184283861
T3 - Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
SP - 517
EP - 525
BT - Computing in Civil Engineering 2023
A2 - Turkan, Yelda
A2 - Louis, Joseph
A2 - Leite, Fernanda
A2 - Ergan, Semiha
PB - American Society of Civil Engineers (ASCE)
T2 - ASCE International Conference on Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation, i3CE 2023
Y2 - 25 June 2023 through 28 June 2023
ER -