Influence of iron filing waste on the performance of warm mix asphalt
Autor: | Yu Wang, Roaa H. Latief, Hasan Al-Mosawe, Hussein K. Mohammad, Amjad Albayati, Jonathan Haynes |
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Přispěvatelé: | Mashaan, N, Yusoff, NIM, Sarsam, SI |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
iron filings waste
Environmental effects of industries and plants Renewable Energy Sustainability and the Environment Geography Planning and Development warm mix asphalt fine natural sand rutting fatigue TJ807-830 Management Monitoring Policy and Law TD194-195 Renewable energy sources Environmental sciences GE1-350 |
Zdroj: | Sustainability, Vol 13, Iss 13828, p 13828 (2021) Sustainability; Volume 13; Issue 24; Pages: 13828 |
ISSN: | 2071-1050 |
Popis: | Recently, interest in the use of projectiles in research on recycling waste materials for construction applications has grown. Using recycled materials for the construction of asphalt concrete pavement, in the meantime, has become a topic of research due to its significant benefits, such as cost savings and reduced environmental impacts. This study reports on comprehensive experimental research conducted using a typical mechanical milling waste, iron filing waste (IFW), as an alternative fine aggregate for warm mix asphalt (WMA) for pavement wearing surface applications. A type of IFW from a local machine workshop was used to replace the conventional fine aggregate, fine natural sand (FNS), at percentages of 25%, 50% 75%, and 100% by the weight of FNS of the size passing sieve No. 50. Experimental tests were conducted on the mixes to compare their Marshall properties, resilient moduli, rutting and fatigue resistance, and moisture susceptibility. Finally, a performance analysis was carried out using the VESYS 5W software on the constructed pavement using the IFW mixes. Both the experiment and the modeling work demonstrated that IFW can be an effective alternative resource for replacing natural fine aggregate in WMA concrete and provided details on the optimum rate based on the comprehensive data obtained first hand. |
Databáze: | OpenAIRE |
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