Fracture Resistance and Self-Healing Ability of Conductive Multilayer Asphalt Roads: Fuzzy AHP-Based WASPAS Optimization

This study investigated the fracture resistance and self-healing ability of conductive multilayer asphalt roads integrated into inductive power transfer (IPT) infrastructure for wireless charging of electric vehicles. The study also focused on minimizing the thermal gradient caused by uneven magnetic field distribution during the induction heating process to eliminate varying healing effects within the multilayer inductive healing layers (ML-IHLs) made of very thin asphalt concrete and binder layers. To do so, waste steel fibers (WSFs) was added in varying proportions, specifically incorporated into very thin asphalt and binder layers. The fracture resistance and self-healing ability of both the very thin asphalt concrete and binder layer were assessed using the fracture-healing-fracture approach based on semicircular bending (SCB) tests. Additionally, to evaluate the effect of WSF content on the mechanical performance of very thin asphalt concrete, Marshall stability and indirect tensile stiffness modulus (ITSM) tests were conducted. The fuzzy analytic hierarchy process (AHP)-based weighted aggregated sum product assessment (WASPAS) method was used to determine the optimum asphalt design by considering the mechanical performance and self-healing ability of asphalt mixtures. The results show that WSFs enhance the deformation capacity of very thin asphalt concrete and enables effective self-healing when applied before microcracks deepen.