A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Induction Heating Optimization for Efficient Self-Healing in Asphalt Concrete
[EN] In this study, the practical application of self-healing asphalt mixtures incorporating steel wool fibers and induction heating was investigated, expanding upon previous research that primarily assessed the self-healing properties rather than optimizing the heating process. Specifically, the aim was to enhance the induction heating methodology for a semi-dense asphalt concrete mixture (AC 16 Surf 35/50 S). In this research, the induction heating parameters were refined to improve the self-healing capabilities, focusing on the following three key aspects: (i) energy consumption, (ii) heating rate, and (iii) heating homogeneity. The findings reveal that the current intensity, the percentage of ferromagnetic additives, and coil shape are critical for achieving optimal heating conditions. Higher current intensity and additive percentage correlate with improved heating speed and reduced energy consumption. Additionally, variations in coil shape significantly influence the heating uniformity. Although asphalt mixtures with steel slag coarse aggregates exhibit slightly higher specific heat, this aggregate type is preferable for sustainability, as it allows for the recycling of industrial waste. The optimized mixtures can rapidly reach high temperatures, facilitating effective crack repair. This innovation offers a durable, environmentally friendly, and cost-effective solution for road maintenance, thereby enhancing the longevity and performance of asphalt pavements. ; This research was funded by Torrescamara y Cia. de Obras, S.A., through the Torrescamara Business Chair at the Universitat Politecnica de Valencia. Additionally, Marina Penalva-Salinas was funded by the Spanish Ministry of Education, Vocational Training and Sports, under a collaboration scholarship (23CO1/003171). ; Penalva-Salinas, M.; Llopis-Castelló, D.; Alonso-Troyano, C.; García García, A. (2024). Induction Heating Optimization for Efficient Self-Healing in Asphalt Concrete. Materials. 17(22). https://doi.org/10.3390/ma17225602 ; 17 ; 22
Induction Heating Optimization for Efficient Self-Healing in Asphalt Concrete
[EN] In this study, the practical application of self-healing asphalt mixtures incorporating steel wool fibers and induction heating was investigated, expanding upon previous research that primarily assessed the self-healing properties rather than optimizing the heating process. Specifically, the aim was to enhance the induction heating methodology for a semi-dense asphalt concrete mixture (AC 16 Surf 35/50 S). In this research, the induction heating parameters were refined to improve the self-healing capabilities, focusing on the following three key aspects: (i) energy consumption, (ii) heating rate, and (iii) heating homogeneity. The findings reveal that the current intensity, the percentage of ferromagnetic additives, and coil shape are critical for achieving optimal heating conditions. Higher current intensity and additive percentage correlate with improved heating speed and reduced energy consumption. Additionally, variations in coil shape significantly influence the heating uniformity. Although asphalt mixtures with steel slag coarse aggregates exhibit slightly higher specific heat, this aggregate type is preferable for sustainability, as it allows for the recycling of industrial waste. The optimized mixtures can rapidly reach high temperatures, facilitating effective crack repair. This innovation offers a durable, environmentally friendly, and cost-effective solution for road maintenance, thereby enhancing the longevity and performance of asphalt pavements. ; This research was funded by Torrescamara y Cia. de Obras, S.A., through the Torrescamara Business Chair at the Universitat Politecnica de Valencia. Additionally, Marina Penalva-Salinas was funded by the Spanish Ministry of Education, Vocational Training and Sports, under a collaboration scholarship (23CO1/003171). ; Penalva-Salinas, M.; Llopis-Castelló, D.; Alonso-Troyano, C.; García García, A. (2024). Induction Heating Optimization for Efficient Self-Healing in Asphalt Concrete. Materials. 17(22). https://doi.org/10.3390/ma17225602 ; 17 ; 22
Induction Heating Optimization for Efficient Self-Healing in Asphalt Concrete
Penalva-Salinas, Marina (author) / Llopis-Castelló, David (author) / Alonso-Troyano, Carlos (author) / García García, Alfredo (author) / Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports / TORRESCAMARA Y CIA. DE OBRAS, S.A. / Universitat Politècnica de València / Ministerio de Educación, Cultura y Deporte
2024-11-01
PMC11595853
Article (Journal)
Electronic Resource
English
Self-healing , Asphalt mixture , Induction heating , Ferromagnetic additive , Steel slag , Sustainable material , Energy efficiency , INGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTES , 09.- Desarrollar infraestructuras resilientes , promover la industrialización inclusiva y sostenible , y fomentar la innovación , 12.- Garantizar las pautas de consumo y de producción sostenibles
Healing of Porous Asphalt Concrete via Induction Heating
| Taylor & Francis Verlag | 2010
Evaluation of self-healing of asphalt concrete through induction heating and metallic fibers
| British Library Online Contents | 2017
Evaluation of self-healing of asphalt concrete through induction heating and metallic fibers
| British Library Online Contents | 2017
Evaluation of self-healing of asphalt concrete through induction heating and metallic fibers
| Online Contents | 2017