Life cycle environmental impact assessment to manage and optimize construction waste using Building Information Modeling (BIM)

Jalaei, Farzad; Zoghi, Milad; Khoshand, Afshin

doi:10.1080/15623599.2019.1583850

Cited by 77 publications

(68 citation statements)

References 36 publications

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“…It was also shown that the dimensions of 127 out of the 132 columns and all the slabs complied with those in the planned BIM.reporting of delays, cost over-runs, rework, and structural instabilities through continuous inspection and as-built documentation are imperative to enabling project proponents to take corrective measures on time. An accurate and reliable as-built 3D/4D building information model (BIM) is not only beneficial during construction, but also during facility operations for maintenance work [6] as well as sustainability and waste management [7].As-built documentation using traditional surveying methods, such as total station and measuring tape, is, however, labor-intensive, costly, and error-prone, particularly when performed frequently. In addition, only a portion of the site elements can be monitored for practicality as traditional instruments can only provide spot measurements [8].…”

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confidence: 99%

“…reporting of delays, cost over-runs, rework, and structural instabilities through continuous inspection and as-built documentation are imperative to enabling project proponents to take corrective measures on time. An accurate and reliable as-built 3D/4D building information model (BIM) is not only beneficial during construction, but also during facility operations for maintenance work [6] as well as sustainability and waste management [7].…”

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confidence: 99%

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Automatic Recognition of Common Structural Elements from Point Clouds for Automated Progress Monitoring and Dimensional Quality Control in Reinforced Concrete Construction

2019

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This manuscript provides a robust framework for the extraction of common structural components, such as columns, from terrestrial laser scanning point clouds acquired at regular rectangular concrete construction projects. The proposed framework utilizes geometric primitive as well as relationship-based reasoning between objects to semantically label point clouds. The framework then compares the extracted objects to the planned building information model (BIM) to automatically identify the as-built schedule and dimensional discrepancies. A novel method was also developed to remove redundant points of a newly acquired scan to detect changes between consecutive scans independent of the planned BIM. Five sets of point cloud data were acquired from the same construction site at different time intervals to assess the effectiveness of the proposed framework. In all datasets, the framework successfully extracted 132 out of 133 columns and achieved an accuracy of 98.79% for removing redundant surfaces. The framework successfully determined the progress of concrete work at each epoch in both activity and project levels through earned value analysis. It was also shown that the dimensions of 127 out of the 132 columns and all the slabs complied with those in the planned BIM.

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confidence: 99%

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confidence: 99%

Automatic Recognition of Common Structural Elements from Point Clouds for Automated Progress Monitoring and Dimensional Quality Control in Reinforced Concrete Construction

2019

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“…Eventually, this present study could analyze the life cycle cost-benefits of a BIM-based construction waste chain and CWM process during a project life cycle. Waste generation dumped to landfill at the end of building life WGDm Yuan et al [10] Waste generation from maintenance process WGM Jalaei et al [12] Waste reduction potential in construction WRPiC Jalaei et al [12] 3.…”

Section: System Dynamic Model Developmentmentioning

confidence: 99%

“…However, CWM is considered as a complicated system that includes various and dynamic activities, such as recycling, reusing, sorting, and transporting, and these processes require dynamic considerations of all effective variables and their interrelationships [10]. For instance, the potential for recyclability and reusability at the end of a building's life is significantly influenced by the sustainable materials selected during the design stage and the amount of maintenance at the operation stage [11,12].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling for Life Cycle Cost Analysis of BIM-Based Construction Waste Management

Zoghi

Kim

2020

Sustainability

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Recent studies in construction waste and management (CWM) have mainly investigated the waste management chain from a static perspective and failed to take into account the dynamic nature of parameters and their correlation. In addition, the current studies of building information modeling (BIM)-based CWM failed to analyze the cost–benefits due to the lack of numerical economic benchmarks. To address the gap, this study developed a system dynamic (SD) model to analyze the economic aspects of construction and demolition (C&D) waste from using BIM. Causal loop and stock-flow diagrams are modeled based on the determined variables and their interrelationships. Standard sensitivity tests were then performed to establish the validity of the model under real system conditions. Different scenarios were applied to simulate and compare the model results in response to various policies. A case study was conducted to quantify the costs and the profits. Based on the comparison with the conventional approach and BIM-based method, BIM can reduce CWM cost by up to 57%. The findings also indicated that higher landfill charges will not be able to motivate managers to use sustainable CWM; conversely, increasing the modularity of design and earlier realization of net benefits will incentivize project managers to employ BIM-based CWM.

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“…In addition, these factors are often uncertain issues, requiring an approach to provide technical Sustainability 2020, 12, 2769 2 of 19 support for decision making in order to achieve the sustainability of a building [1,[9][10][11]. Recent studies have identified the sustainable impacts during the lifecycle of building materials according to the life cycle assessment (LCA) method [12][13][14]; specifically, concerns regarding the sustainability of building materials increasing, which is considered a key indicator in all assessment tools to evaluate the overall sustainability of the building [15,16].…”

Section: Introductionmentioning

confidence: 99%

The Development of a Decision Support Model for Eco-Friendly Material Selection in Vietnam

et al. 2020

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In recent years, the awareness of sustainable construction has increasingly risen in countries around the world, with the main goal being to avoid depleting energy resources and raw materials and to greatly reduce carbon emissions. Therefore, the selection of eco-friendly building materials becomes a difficult task and choosing the best construction strategy is a complicated process. Most of the studies of the building material selection often focus on optimizing material-related green building scores with budget constraints based on the environmental impacts of those materials. However, these studies do not pay attention to the impact of sustainable materials on two important aspects of a project: The initial investment cost and the total labor-working days. Hence, this study developed a model that optimizes a material mix for buildings considering the building budget, total labor-working days, and material-related green building scores. A case study in Vietnam was conducted to illustrate the effectiveness of the proposed model. This proposed model provides a guidance for decision-makers in selecting approximate materials for buildings toward sustainability.Sustainability 2020, 12, 2769 4 of 19 of materials type, construction strategy, and the Lotus-based green building certification system in Vietnam (Figure 1). toward green buildings. 132 2. Problem Definition 133 2.1. Definition of the Optimization Problem. 134The problem in this study aims to build an eco-friendly material selection integrated platform 135 that will enable building owners and designers to optimize decision making through knowledge of 136 materials type, construction strategy, and the Lotus-based green building certification system in 137 Vietnam (Figure 1).

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Life cycle environmental impact assessment to manage and optimize construction waste using Building Information Modeling (BIM)

Cited by 77 publications

References 36 publications

Automatic Recognition of Common Structural Elements from Point Clouds for Automated Progress Monitoring and Dimensional Quality Control in Reinforced Concrete Construction

Automatic Recognition of Common Structural Elements from Point Clouds for Automated Progress Monitoring and Dimensional Quality Control in Reinforced Concrete Construction

Dynamic Modeling for Life Cycle Cost Analysis of BIM-Based Construction Waste Management

The Development of a Decision Support Model for Eco-Friendly Material Selection in Vietnam

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