@ARTICLE{Jiang_Mengya_The_2025, author={Jiang, Mengya and Cai, Xiaoqing}, volume={vol. 71}, number={No 1}, pages={51–63}, journal={Archives of Civil Engineering}, howpublished={online}, year={2025}, publisher={WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES}, abstract={Construction waste (CW) has become one of the main factors exacerbating regional environmental damage, and how to recycle and utilize CW as a resource is also a key focus of future urban construction in China. Although CW has good application effects in highway construction, its service life is still a factor that affects its promotion. Currently, CW is mostly concrete waste, so it is integrated with asphalt mixtures to prepare new types of recycled asphalt, extending the service life of asphalt roads, reducing construction costs and environmental damage. The experimental results show that the optimal asphalt to aggregate ratio of Recycled Concrete Aggregate (RCA) asphalt mixtures is between 4% and 5%. The road performance of four asphalt mixtures with different RCA contents meets the standard, and two RCA mixtures have better performance than traditional asphalt. When subjected to 150 cycles of temperature humidity coupling, the fatigue life of five different asphalt mixtures decreased, and the fatigue damage was in a rapid growth stage. The fatigue life of traditional mixtures decreases more than 1.3 times faster than that of CW asphalt mixtures. There are two types of CW asphalt mixtures that can still maintain good fatigue performance under different temperature and humidity coupling effects, which can effectively extend the service life of traditional asphalt pavement. RCA asphalt mixture has better adhesion performance, effectively alleviating the fracture impact of aggregate rigidity.}, title={The recycling of construction waste asphalt mixes – study case}, type={Article}, URL={http://ochroma.man.poznan.pl/Content/134485/PDF-MASTER/04_2k.pdf}, doi={10.24425/ace.2025.153320}, keywords={asphalt mixes, big data analysis, construction waste, renewable aggregates, road performance}, }