采用具有自感应特性的 RAP 和粉煤灰的可持续混凝土路面

Mohammed Refat, A. Al-Dahawi, H. Baqir
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摘要

这项研究的重点是解决利用高价值可持续材料铺设自感应混凝土路面的问题。该研究特别探讨了在单一混合设计中加入再生沥青路面 (RAP)、粉煤灰和硅灰的问题,以实现可持续性目标。在作者之前的工作中,进行了实验室实验以确定再生沥青路面、粉煤灰和硅灰的最佳比例,重点是实现所需的机械性能。在此框架内进行了包括抗压强度、抗弯强度和间接抗拉强度在内的力学测试,以评估混凝土混合物的性能。本研究中选定的混凝土混合物采用 40% 的 RAP 替代原生骨料,粉煤灰与水泥的比率为 0.8,硅灰的添加量为胶凝材料重量的 8%。通过在混凝土基体中嵌入两个电极,对结构健康状况和耐久性进行了实时监测。结果表明,添加 RAP、粉煤灰和硅灰对硬化混凝土的机械性能有重大影响。优化组合设计提高了强度和自感应性能,这与硅灰和粉煤灰对力学和自感应能力的有利影响有关。这项研究证明了将回收材料和自感应技术整合到混凝土路面施工中的可行性,有助于推动可持续和智能化基础设施的发展。此外,该研究还扩展了调查范围,利用 ANSYS 分析评估了可持续混凝土在动态载荷下的性能。调查是在一个长 21 米、宽 3 米的结构上进行的,结果表明,可持续材料的使用改善了结构在移动荷载下的机械性能。
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Sustainable concrete pavement incorporating RAP and fly ash with self-sensing properties
This research focuses on addressing the problem of utilizing high-value sustainable materials in the creation of self-sensing concrete pavement. The study specifically explores the incorporation of reclaimed asphalt pavement (RAP), fly ash, and silica fume in a single mix design to achieve sustainability objectives. In the previous work by the authors, laboratory experiments were conducted to determine the optimal proportions of RAP, fly ash, and silica fume, with a focus on achieving desired mechanical properties. Mechanical tests, encompassing compressive strength, flexural strength, and indirect tensile strength, were conducted within this framework to assess the performance of the concrete mixture. The selected concrete mix in this study incorporated 40% RAP as a replacement for virgin aggregate, a fly ash-to-cement ratio of 0.8, and the addition of silica fume at 8% relative to the weight of cementitious materials. Structural health and durability were monitored in real time by embedding two electrodes within the concrete matrix. The results highlighted the significant impact of adding RAP, fly ash, and silica fume on the mechanical properties of the hardened concrete. The optimized combination design indicated improved strength and self-sensing behavior, which was related to the beneficial impacts of silica fume and fly ash on mechanical and self-sensing capabilities. This research contributes to the advancement of sustainable and intelligent infrastructure by demonstrating the feasibility of integrating recycled materials and self-sensing technology into concrete pavement construction. Additionally, the study extended its investigation to evaluate the performance of sustainable concrete under dynamic loads using ANSYS analysis. The investigation, which was performed on a structure with dimensions of 21 meters in length and 3 meters in width, observed that the use of sustainable materials improved the mechanical behavior of the structure under moving loads.
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