Journal of Molecular Liquids, Год журнала: 2024, Номер 403, С. 124898 - 124898
Опубликована: Май 1, 2024
Язык: Английский
Journal of Molecular Liquids, Год журнала: 2024, Номер 403, С. 124898 - 124898
Опубликована: Май 1, 2024
Язык: Английский
Energy & Fuels, Год журнала: 2024, Номер 38(6), С. 4787 - 4802
Опубликована: Фев. 29, 2024
The emission of volatile organic compounds (VOCs) from asphalt during construction processes presents substantial risks to human health and the environment. To advance sustainable transportation development, this review offers a comprehensive study methods for characterization, release characteristics, influencing factors, mechanisms, environmental impacts VOCs. At present, research has been conducted on characterization methods, component risks. findings indicate that gas chromatography–mass spectrometry is most method characterizing Asphalt VOCs mainly comprise alkanes, aromatics, aliphatic hydrocarbons. Factors including temperature, source, ultraviolet radiation can all affect characteristics Elevated VOC levels contribute photochemical production ozone fine particulate matter, exacerbating air pollution climate change. Additionally, specific VOCs, benzene polycyclic aromatic hydrocarbons, pose humans. While progress achieved in current research, challenges persist quantifying assessing their risks, implementing effective mitigation technologies. address these challenges, future should focus establishing fingerprints, quantitative evaluation criteria, material innovation, optimization processes, exposure assessment, collaborative solution implementation.
Язык: Английский
Процитировано
25Journal of Materials in Civil Engineering, Год журнала: 2024, Номер 36(7)
Опубликована: Апрель 18, 2024
Mesoscale contact networks for asphalt mixtures play a crucial role in load resistance. However, there is lack of quantitative characterization methods networks. Topology can describe the relationships between multiple objects through points and lines. In this study, aggregate information was extracted by industrial computed tomography (CT) digital image processing technology (DIP). The classification disruption aggregates determined two-dimensional (2D) topological model. Then, correlation mechanism indices topologies established based on matrix. algebraic connectivity (La) nine different mixture analyzed. results revealed that each type dominated certain La with higher frequency. As nominal maximum size (NMAS) increased, shift dominant from those associated lower to linked La. Based frequency La, were 8 frequencies exceeding 20%; 5 surpassing 10%; 14 17 greater than 5% 2%, respectively. Furthermore, it observed predominantly consisted simple topologies. Additionally, complex decreased as number nodes increased.
Язык: Английский
Процитировано
25Construction and Building Materials, Год журнала: 2024, Номер 419, С. 135452 - 135452
Опубликована: Фев. 20, 2024
Язык: Английский
Процитировано
19Journal of Cleaner Production, Год журнала: 2024, Номер 448, С. 141592 - 141592
Опубликована: Март 3, 2024
Язык: Английский
Процитировано
14Construction and Building Materials, Год журнала: 2024, Номер 425, С. 136045 - 136045
Опубликована: Апрель 1, 2024
Язык: Английский
Процитировано
12Construction and Building Materials, Год журнала: 2024, Номер 412, С. 134766 - 134766
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
11Journal of Polymer Research, Год журнала: 2025, Номер 32(1)
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2Surfaces and Interfaces, Год журнала: 2025, Номер unknown, С. 105827 - 105827
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Journal of Materials in Civil Engineering, Год журнала: 2025, Номер 37(4)
Опубликована: Фев. 5, 2025
Язык: Английский
Процитировано
1Construction and Building Materials, Год журнала: 2025, Номер 468, С. 140371 - 140371
Опубликована: Фев. 17, 2025
Язык: Английский
Процитировано
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