Improvement research on the construction technology of recycled asphalt mixtures based upon fuzzy decision theory

This study explores recycled asphalt mixture (RAM) construction technology using fuzzy decision theory to meet the growing demand for sustainable transportation infrastructure. AC-13 asphalt mixtures were designed, and aged mixtures underwent recycling and mechanical property testing. A research framework integrating fuzzy evaluation of performance indicators and construction parameters was developed. Guided by fuzzy decision theory, macroscopic mechanical tests were performed to assess improvements and predict optimal construction processes. Results show that RAM with fuzzy decision support meets road performance requirements and enhances sustainability. The optimal process involves mixing at 175 °C: blend RAP and recycling agent for 15 s, add new aggregate for 15 s, then new asphalt for 20 s, and mineral powder for 25 s. The mixture should be transported within 0.5 h for best performance. This research highlights the potential of fuzzy decision theory to optimize material–technology interactions and provides valuable guidance for RAM construction.