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Ali, G M, Bouferguene, A and Al-Hussein, M (2023) Crane mat layout optimization based on agent-based greedy and reinforcement-learning approach. Journal of Construction Engineering and Management, 149(08).
Darko, A, Glushakova, I, Boateng, E B and Chan, A P C (2023) Using machine learning to improve cost and duration prediction accuracy in green building projects. Journal of Construction Engineering and Management, 149(08).
Do, Q, Moriyani, M A, Le, C and Le, T (2023) Cost-weighted tf-idf: A novel approach for measuring highway project similarity based on pay items' cost composition and term frequency. Journal of Construction Engineering and Management, 149(08).
Huang, C, Wang, Z K, Li, B, Wang, C, Xu, L S, Jiang, K, Liu, M, Guo, C X, Zhao, X F and Yang, H (2023) Discretized cell modeling for optimal layout of multiple tower cranes. Journal of Construction Engineering and Management, 149(08).
Kar, S and Jha, K N (2023) Examining the effect of material management practices on material availability and waste reduction in construction projects. Journal of Construction Engineering and Management, 149(08).
Leung, M Y, Wei, X and Wang, C (2023) Demystifying critical success factors for applying value management in construction projects along the belt and road regions: Focus group study. Journal of Construction Engineering and Management, 149(08).
Li, Q, Jiang, M, Tao, S, Hao, J and Chong, H Y (2023) The integrated problem of construction project scheduling and multiskilled staff assignment with learning effect. Journal of Construction Engineering and Management, 149(08).
Li, Y, He, N, Zhang, Y, Li, H and Zhang, C (2023) Optimization of capital structure for urban water PPP projects using mezzanine financing: Sustainable perspective. Journal of Construction Engineering and Management, 149(08).
Li, Y, Zhu, L, Xue, R and Han, Y (2023) How policy diffusion influences regional BIM innovation: An empirical study in China. Journal of Construction Engineering and Management, 149(08).
Pooladvand, S and Hasanzadeh, S (2023) Impacts of stress on workers' risk-taking behaviors: Cognitive tunneling and impaired selective attention. Journal of Construction Engineering and Management, 149(08).
Shang, M, Zhang, Y, He, Z, Qiao, H, Liu, X, Feng, Q, Xue, C, Zhang, Y, Su, F, Wang, J, Han, Y and Meng, X (2023) Workability properties of specified density concrete with municipal solid waste incinerator tailings added as a lightweight aggregate. Journal of Construction Engineering and Management, 149(08).
- Type: Journal Article
- Keywords: aggregate separation factor; computed tomography; municipal solid waste incinerator tailings; specified density concrete; stratification
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-13148
- Abstract:
The application of municipal solid waste incineration tailings lightweight aggregate (MSWI-TLA) for reducing carbon emissions, energy consumption, and environmental pollution of bulk solid waste treatment has received extensive attention. As a new type of green lightweight aggregate, MSWI-TLA exhibits considerably good performance and broad prospects; however, its working performance in cement-based materials is not as good as that of ordinary aggregates. In this study, a standardized municipal solid waste incineration tailings lightweight fine aggregate (MSWI-TLFA) with a fineness modulus of 3.1 and a municipal solid waste of 10 mm were utilized as substitutes for the common aggregate. The incineration tailings lightweight coarse aggregate (MSWI-TLCA) with the particle size ranging from 5 to stirring process and the fluidity and filling properties were improved, and stratification was slowed down. Based on the slump, fluidity, and stratification data of municipal solid waste incineration tailings lightweight aggregate specific density concrete (MSWI-TLA-SDC), the internal and external stacking structure model, matrix density three-phase diagram, and stratification function relationship were established, and the formation mechanism of fluidity and homogeneity under the synergistic effect of MSWI-TLA-SDC matrix density was revealed. Simultaneously, the qualitative analysis of homogeneity was carried out intuitively and visualized using computed tomography (CT) technology, and the accurate quantitative analysis model of stratification degree and aggregate separation factor was established using the principle of fluid mechanics, and the optimization effect was verified. The results show that the fluidity of MSWI-TLA-SDC decreases by 3.3%-30.5% and the delamination degree increases by 4.9%-22.9% compared with ordinary concrete. The main reason for the poor fluidity and homogeneity of MSWI-TLA-SDC is the poor density synergy between tailings lightweight aggregate, ordinary aggregate, and mortar matrix. The preabsorbed gravel-type small-size tailings lightweight aggregate along with technical measures like combining water-reducing agent, fine tailings aggregate, and tailings powder can be used to reduce the difference in matrix density and fully exploit the synergistic effects of matrix density. For the closed-loop absorption of tailings lightweight aggregate as well as the technical advancement and promotion of MSWI-TLA-SDC, it is crucial to increase the fluidity and homogeneity of MSWI-TLA-SDC.
Shrestha, K (2023) Cost comparison of highway rest area operations: In-house workforce versus outsourcing methods. Journal of Construction Engineering and Management, 149(08).
Tan, L, Zhang, Y, Chen, Y and Zhu, T (2023) A multiple-objective decision-support model for lighting maintenance routing considering carbon dioxide emissions and balanced workload. Journal of Construction Engineering and Management, 149(08).