The Prediction of the Compaction Curves and Energy of Bituminous Mixtures
The optimisation of road construction planning and design prioritises safety, comfort, cost-effectiveness, and sustainability by aligning with sustainable development goals (SDGs) and integrating life cycle assessment (LCA)-based criteria. Asphalt mixture compaction is a critical construction-phase...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Infrastructures |
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| Online Access: | https://www.mdpi.com/2412-3811/10/6/132 |
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| author | Filippo Giammaria Praticò Giusi Perri |
| author_facet | Filippo Giammaria Praticò Giusi Perri |
| author_sort | Filippo Giammaria Praticò |
| collection | DOAJ |
| description | The optimisation of road construction planning and design prioritises safety, comfort, cost-effectiveness, and sustainability by aligning with sustainable development goals (SDGs) and integrating life cycle assessment (LCA)-based criteria. Asphalt mixture compaction is a critical construction-phase process that requires careful monitoring due to its significant impact on fuel consumption, CO<sub>2</sub> emissions, and pavement performance. However, characterising the compaction process during the design stage is challenging due to the unavailability of primary data, such as the compaction energy applied by the roller on-site. This study addresses this gap by developing a methodology for deriving compaction-energy-related data at the laboratory stage. An algorithm is proposed to estimate key compaction parameters, specifically the locking point and compaction curves, based on aggregate grading. Equations to improve the design of bituminous mixtures based on compaction targets were derived. The findings support more sustainable planning, the optimised selection of construction equipment, and improved competitive equilibria between different pavement technologies by promoting low-carbon and energy-efficient strategies aligned with SDGS. |
| format | Article |
| id | doaj-art-282ec3b0d4b447a98d29951441075cf7 |
| institution | Kabale University |
| issn | 2412-3811 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj-art-282ec3b0d4b447a98d29951441075cf72025-08-20T03:27:19ZengMDPI AGInfrastructures2412-38112025-05-0110613210.3390/infrastructures10060132The Prediction of the Compaction Curves and Energy of Bituminous MixturesFilippo Giammaria Praticò0Giusi Perri1DIIES Department, University “Mediterranea” of Reggio Calabria, Via Graziella—Feo di Vito, 89100 Reggio Calabria, ItalyDIIES Department, University “Mediterranea” of Reggio Calabria, Via Graziella—Feo di Vito, 89100 Reggio Calabria, ItalyThe optimisation of road construction planning and design prioritises safety, comfort, cost-effectiveness, and sustainability by aligning with sustainable development goals (SDGs) and integrating life cycle assessment (LCA)-based criteria. Asphalt mixture compaction is a critical construction-phase process that requires careful monitoring due to its significant impact on fuel consumption, CO<sub>2</sub> emissions, and pavement performance. However, characterising the compaction process during the design stage is challenging due to the unavailability of primary data, such as the compaction energy applied by the roller on-site. This study addresses this gap by developing a methodology for deriving compaction-energy-related data at the laboratory stage. An algorithm is proposed to estimate key compaction parameters, specifically the locking point and compaction curves, based on aggregate grading. Equations to improve the design of bituminous mixtures based on compaction targets were derived. The findings support more sustainable planning, the optimised selection of construction equipment, and improved competitive equilibria between different pavement technologies by promoting low-carbon and energy-efficient strategies aligned with SDGS.https://www.mdpi.com/2412-3811/10/6/132compactioncompaction energysustainable development goals (SDGs)aggregate gradationlocking pointenergy efficiency |
| spellingShingle | Filippo Giammaria Praticò Giusi Perri The Prediction of the Compaction Curves and Energy of Bituminous Mixtures Infrastructures compaction compaction energy sustainable development goals (SDGs) aggregate gradation locking point energy efficiency |
| title | The Prediction of the Compaction Curves and Energy of Bituminous Mixtures |
| title_full | The Prediction of the Compaction Curves and Energy of Bituminous Mixtures |
| title_fullStr | The Prediction of the Compaction Curves and Energy of Bituminous Mixtures |
| title_full_unstemmed | The Prediction of the Compaction Curves and Energy of Bituminous Mixtures |
| title_short | The Prediction of the Compaction Curves and Energy of Bituminous Mixtures |
| title_sort | prediction of the compaction curves and energy of bituminous mixtures |
| topic | compaction compaction energy sustainable development goals (SDGs) aggregate gradation locking point energy efficiency |
| url | https://www.mdpi.com/2412-3811/10/6/132 |
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