Tools and techniques of CE for CDWM
| Tools and techniques | Application | Reference |
|---|---|---|
| Building Information Modeling (BIM) | Quantifies construction and demolition waste (CDW) materials during the design phase for CDW management | Illankoon and Vithanage (2023), Gherman et al. (2023), Ismail (2023), Yang et al. (2022), Spišáková et al. (2022), Rašković et al. (2020), Kovacic et al. (2020) |
| Blockchain Technology | Traces and tracks the availability of CDW/recycled materials and components | Swarnakar and Khalfan (2024), Sharma et al. (2022) |
| Finite Element Modelling | Extracts information related to reusable elements from databases | Sharma et al. (2022) |
| Mobile-based Applications | Helps stakeholders monitor, trace, and systematically manage CDW in the construction and demolition sector | Villoria Sáez et al. (2023), Oliveira et al. (2021), Ginga et al. (2020) |
| Machine Learning Approaches | Estimates CDW generation and quantification | Swarnakar and Khalfan (2024), Lu et al. (2021a, b) |
| Artificial Intelligence-based Approaches | Distinguishes different types of CDW materials and separates them quickly | Czekała et al. (2023), Rahigude et al. (2022) |
| Virtual Reality | Provides visual representation of the bill of quantity for materials/components | Illankoon and Vithanage (2023), Rahigude et al. (2022) |
| Multi-sensor Fusion Methods | Assesses the improvement in CDW classification | Sharma et al. (2022) |
| Digital Twin | Creates a virtual model identical to the actual building or infrastructure with detailed information | Illankoon and Vithanage (2023), Rahigude et al. (2022) |
| Vision-based Robotic Systems | Collects and sorts on-site CDW | Sharma et al. (2022), Rahigude et al. (2022) |
| Material Passports | Captures information about circular materials and products | Swarnakar and Khalfan (2024), Superti et al. (2021), Kovacic et al. (2020) |
| X-ray Diffraction and Scanning Electron Microscopy Techniques | Aids in the experimental characterization and analysis of CDW types | Colorado et al. (2022) |
| Boundary-aware Transformer (BAT) Model | Recognizes the fine-grained composition of CDW mixtures | Dong et al. (2022) |
| Geographic Information Systems (GIS) | Provides synoptic information about stock material for future construction and demolition activities | Soto-Paz et al. (2023), Gherman et al. (2023), Rašković et al. (2020) |
| Global Positioning System (GPS) | Tracks and monitors the real-time position of CDW carriage vehicles | Rayhan and Bhuiyan (2024) |
| Big Data Technology | Stores and analyzes complex and incomplete CDW datasets, enhancing effective management | Swarnakar and Khalfan (2024), Rayhan and Bhuiyan (2024), Rahigude et al. (2022) |
| Image Recognition Technology | Analyzes gross floor area using Google Earth for the demolition and renovation of existing infrastructures | Rayhan and Bhuiyan (2024), Ginga et al. (2020) |
| Barcode Technology | Identifies and collects various information related to CDW for supply chain and logistics | Swarnakar and Khalfan (2024), Rayhan and Bhuiyan (2024) |
| Material Flow Analysis (MFA) | Captures information and data of material stocks and flows of buildings to establish demand for each product | Swarnakar and Khalfan (2024), Gherman et al. (2023), Yang et al. (2022), Rašković et al. (2020) |
| Life Cycle Assessment (LCA) Tool | Evaluates the environmental impact of products from cradle-to-grave and identifies opportunities to reduce resource consumption | Gherman et al. (2023), Yang et al. (2022), Bonoli et al. (2021), Rahigude et al. (2022) |
| Timed Petri Net | Analyzes and models traditional transaction processes of CDW | Swarnakar and Khalfan (2024), Wu et al. (2022) |
| Balanced Scorecard Approach | Attains a high level of circularity in the construction and demolition sector | Torgautov et al. (2022) |
| Greenhouse Gas Design Optimization and Net Waste Tool | Determines optimal sustainable emissions for the efficient disposal of CDW | Rahigude et al. (2022), Ginga et al. (2020), Xu et al. (2019) |
| Algorithm-based Analysis Tools | Manages and effectively organizes CDW in the construction and demolition sector | Ismail (2023), Gherman et al. (2023) |
| 3D Printing Technology | To construct infrastructure using recycled aggregates and produce cement mortars suitable for 3D printing technology | Rodrigo et al. (2024), Swarnakar and Khalfan (2024) |
| Multi-criteria Decision Analysis-based Tools | Aids in making the right decisions through stakeholders' or experts' opinions to manage CDW activities | Swarnakar and Khalfan (2024), Rayhan and Bhuiyan (2024), Kabirifar et al. (2023), Boonkanit and Suthiluck (2023), Parra-Orobio et al. (2023), Mahpour (2018) |
| Radio-frequency Identification (RFID) | Identifies and tracks construction and demolition materials or products through attached tags | Swarnakar and Khalfan (2024), Copeland and Bilec (2020) |
| Tools and techniques | Application | Reference |
|---|---|---|
| Building Information Modeling (BIM) | Quantifies construction and demolition waste (CDW) materials during the design phase for CDW management | |
| Blockchain Technology | Traces and tracks the availability of CDW/recycled materials and components | |
| Finite Element Modelling | Extracts information related to reusable elements from databases | |
| Mobile-based Applications | Helps stakeholders monitor, trace, and systematically manage CDW in the construction and demolition sector | |
| Machine Learning Approaches | Estimates CDW generation and quantification | |
| Artificial Intelligence-based Approaches | Distinguishes different types of CDW materials and separates them quickly | |
| Virtual Reality | Provides visual representation of the bill of quantity for materials/components | |
| Multi-sensor Fusion Methods | Assesses the improvement in CDW classification | |
| Digital Twin | Creates a virtual model identical to the actual building or infrastructure with detailed information | |
| Vision-based Robotic Systems | Collects and sorts on-site CDW | |
| Material Passports | Captures information about circular materials and products | |
| X-ray Diffraction and Scanning Electron Microscopy Techniques | Aids in the experimental characterization and analysis of CDW types | |
| Boundary-aware Transformer (BAT) Model | Recognizes the fine-grained composition of CDW mixtures | |
| Geographic Information Systems (GIS) | Provides synoptic information about stock material for future construction and demolition activities | |
| Global Positioning System (GPS) | Tracks and monitors the real-time position of CDW carriage vehicles | |
| Big Data Technology | Stores and analyzes complex and incomplete CDW datasets, enhancing effective management | |
| Image Recognition Technology | Analyzes gross floor area using Google Earth for the demolition and renovation of existing infrastructures | |
| Barcode Technology | Identifies and collects various information related to CDW for supply chain and logistics | |
| Material Flow Analysis (MFA) | Captures information and data of material stocks and flows of buildings to establish demand for each product | |
| Life Cycle Assessment (LCA) Tool | Evaluates the environmental impact of products from cradle-to-grave and identifies opportunities to reduce resource consumption | |
| Timed Petri Net | Analyzes and models traditional transaction processes of CDW | |
| Balanced Scorecard Approach | Attains a high level of circularity in the construction and demolition sector | |
| Greenhouse Gas Design Optimization and Net Waste Tool | Determines optimal sustainable emissions for the efficient disposal of CDW | |
| Algorithm-based Analysis Tools | Manages and effectively organizes CDW in the construction and demolition sector | |
| 3D Printing Technology | To construct infrastructure using recycled aggregates and produce cement mortars suitable for 3D printing technology | |
| Multi-criteria Decision Analysis-based Tools | Aids in making the right decisions through stakeholders' or experts' opinions to manage CDW activities | |
| Radio-frequency Identification (RFID) | Identifies and tracks construction and demolition materials or products through attached tags |
Source(s): Table created by authors
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