Assessment of automatic induction self-healing treatment applied to steel deck asphalt pavement

التفاصيل البيبلوغرافية
العنوان: Assessment of automatic induction self-healing treatment applied to steel deck asphalt pavement
المؤلفون: Fang Wang, Kai Liu, Zhang Xuancheng, Lingyun You, Xu Peixin, Chaoliang Fu
المصدر: Automation in Construction. 133:104011
بيانات النشر: Elsevier BV, 2022.
سنة النشر: 2022
مصطلحات موضوعية: business.industry, Computer science, Intermittent heating, Building and Construction, Structural engineering, Deck, Recovery rate, Asphalt pavement, Control and Systems Engineering, Asphalt, Self-healing, Fracture (geology), Economic analysis, business, Civil and Structural Engineering
الوصف: Automatic induction self–healing treatment (AI–SHT) is a novel maintenance method for asphalt pavements that can efficiently heal cracks when inductive particles are incorporated into the asphalt. In the case of asphalt pavements on steel bridge decks, the metallic elements of the bridge act as the inductive materials to heal the cracks. This study focused on verifying the engineering feasibility and economic value of using AI–SHT for steel deck asphalt pavement (SDAP). The magnetic circuit principle was introduced to explore the self–healing effects. Fracture and induction self–healing tests were conducted based on a simplified model of the SDAP. Results showed that the maximum strength recovery rate via intermittent heating, without considering the aging, could reach 89.5%, which almost returned the strength of the newly constructed SDAP. Meanwhile, the maintenance cost of the AI–SHT could be ignored compared with the conventional maintenance method.
تدمد: 0926-5805
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f154f00ac5c13039dcaf0fd36f51165a
https://doi.org/10.1016/j.autcon.2021.104011
حقوق: OPEN
رقم الأكسشن: edsair.doi...........f154f00ac5c13039dcaf0fd36f51165a
قاعدة البيانات: OpenAIRE