The methods of waste quantification in the construction sites (A review)

Hassan, Siti Hasnah; Aziz, Hamidi Abdul; Daud, Nurhidayati Mat; Keria, R.; Noor, Suhailah Mohamed; Johari, Izwan; Shah, S. M. R.

doi:10.1063/1.5062682

Cited by 12 publications

(11 citation statements)

References 13 publications

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“…However, classification at the construction site could be an expensive and complicated process, which is limited by the classification technology's level, equipment level, workers' skill, waste type purity, processing time, site space, cost, etc. Additionally, it is clear that the potential of the recycling and reuse of C&D wastes is not adequately exploited, and further efforts are urgent [6,12,28], which include national policies and strategies [17,28,42,44], effective analysis methods [12,39], waste processing technologies and management [3,9,11], and so on.…”

Section: Discussionmentioning

confidence: 99%

“…An interesting finding was that all listed articles were from after the year 2000, although MFA was first proposed in 1970s. In 28 studies, there was one review paper about C&D waste quantification, in which Hassan et al [39] reviewed the research on waste quantification in construction sites. In the next section, we will analyze and summarize the 27 articles in detail, but our discussion is not limited to these 27 papers.…”

Section: Methodsmentioning

confidence: 99%

“…Beyond all that, there are some other combinations for C&D waste processing, such as MFA combined with statistical analysis [35], MFA combined with eco-balancing methods [36], MFA combined with input-output analysis (IOA) [2,37], and so on. Although some C&D-waste-related review articles can be found, such as quantifying C&D waste [38,39], C&D waste management [40][41][42][43], and sustainable assessment of construction materials [44], a comprehensive analysis and summary about the state of the art of MFA based on C&D waste is required. In this paper, we will review the development of MFA based on C&D waste and comprehensively analyze and summarize research results.…”

Section: Introductionmentioning

confidence: 99%

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The State of the Art of Material Flow Analysis Research Based on Construction and Demolition Waste Recycling and Disposal

Guo

Huang

2019

Buildings

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Construction and demolition waste (C&D waste) are widely recognized as the main form municipal solid waste, and its recycling and reuse are an important issue in sustainable city development. Material flow analysis (MFA) can quantify materials flows and stocks, and is a useful tool for the analysis of construction and demolition waste management. In recent years, material flow analysis has been continually researched in construction and demolition waste processing considering both single waste material and mixed wastes, and at regional, national, and global scales. Moreover, material flow analysis has had some new research extensions and new combined methods that provide dynamic, robust, and multifaceted assessments of construction and demolition waste. In this paper, we summarize and discuss the state of the art of material flow analysis research in the context of construction and demolition waste recycling and disposal. Furthermore, we also identify the current research gaps and future research directions that are expected to promote the development of MFA for construction and demolition waste processing in the field of sustainable city development.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The State of the Art of Material Flow Analysis Research Based on Construction and Demolition Waste Recycling and Disposal

Guo

Huang

2019

Buildings

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“…In order to adapt to the needs of urban development, residential buildings, infrastructure, roads and bridges and other facilities are constantly updated, a large number of old infrastructures have been dismantled, resulting in a huge amount of construction waste (Dong et al, 2018;Faruqi and Siddiqui, OPEN ACCESS EDITED BY 2020). At present, the main way to deal with construction waste is centralized stacking or landfill, but due to the characteristics of concrete is difficult to degrade, the above treatment will cause environmental pollution and land waste, not in line with the theme of sustainable development (Hassan et al, 2018;Luangcharoenrat et al, 2019;Kim, 2021). At the same time, the construction of new infrastructure has a large demand for concrete, and the preparation of concrete will use natural sand and other non-renewable resources, the exploitation of these resources has caused serious damage to the ecological environment (Vilventhan et al, 2019;Nunes and Mahler, 2020;Yin, 2021;Xiao et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Development of hybrid SVM-FA, DT-FA and MLR-FA models to predict the flexural strength (FS) of recycled concrete

Wang

Zhou

2023

Front. Mater.

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Recycled concrete from construction waste used as road material is a current sustainable approach. To provide feasible suggestions for civil engineers to prepare recycled concrete with high flexural strength (FS) for the road pavement, the present study proposed three hybrid machine learning models by combining support vector machine (SVM), decision tree (DT) and multiple linear regression (MLR) with the firefly algorithm (FA) for the computational optimization, named as SVM-FA, DT-FA, and MLR-FA, respectively. Effective water-cement ratio (WC), aggregate-cement ratio (AC), recycled concrete aggregate replacement ratio (RCA), nominal maximum recycled concrete aggregate size (NMR), nominal maximum normal aggregate size (NMN), bulk density of recycled concrete aggregate (BDR), bulk density of normal aggregate (BDN), water absorption of RCA (WAR) and water absorption of NA (WAN) were employed as the input variables. To determine the predicting results of varying hybrid models, root mean square error (RMSE) and correlation coefficient (R) were used as performance indexes. The results showed that the SVM-FA demonstrated the highest R values and the lowest RMSE values, and the fitting effect of the predicted values and the actual values of the FS of recycled concrete is the best. All the above analysis proving that the SVM optimized by FA hyperparameters has the highest prediction accuracy and SVM-FA can provide engineers a more accurate and convenient tool to evaluate the FS of recycled concrete. The results of sensitivity analysis showed that WC has the most significant influence on the FS of recycled concrete, while RCA has the weakest influence on the FS, which should be noticed when engineers apply recycled concrete to road design in the future.

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“…According to Hassan et al (2018), the lack of data hinders the planning of future CWM systems. In Brazil, for example, quantitative information on the generation and disposal of these wastes is scarce (Brasileiro and Matos, 2015).…”

Section: Introductionmentioning

confidence: 99%

An assessment tool for municipal construction waste management in Brazilian municipalities

et al. 2020

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Construction waste is generated during construction and remodelling undertakings. Construction waste management (CWM) is a challenge in developing countries such as Brazil. Thus, it is necessary to create tools by which CWM may be evaluated. This article presents the elaboration of a tool to assess CWM in Brazilian cities; moreover, this method facilitates such analyses in regions which lack substantial quantitative data. In doing so, the tool, known as the Assessment Index for Construction Waste Management (ICWM), combines quantitative and qualitative information and is composed of 49 indicators and 19 criteria divided into the following groups: operational; environmental; politico-economic, educational; and social. The analytic hierarchy process was used to assign the weights attributed to the groups and criteria to build the index. The indicators were measured according to a standardized rating scale proposed for each one. These elements were aggregated in a mathematical formula that enables the calculation of the ICWM. The aggregation method used was a weighted linear combination, and the index is rated on a 0 to 1 scale. The ICWM was tested in four municipalities. In all cases, the management was considered inefficient. The proposed tool proved to be effective in evaluating the CWM. In cities where the ICWM was tested, it was possible to identify the significant deficiencies of the CWM and recommend improvement actions to develop more efficient and sustainable management.

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The methods of waste quantification in the construction sites (A review)

Cited by 12 publications

References 13 publications

The State of the Art of Material Flow Analysis Research Based on Construction and Demolition Waste Recycling and Disposal

The State of the Art of Material Flow Analysis Research Based on Construction and Demolition Waste Recycling and Disposal

Development of hybrid SVM-FA, DT-FA and MLR-FA models to predict the flexural strength (FS) of recycled concrete

An assessment tool for municipal construction waste management in Brazilian municipalities

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