Huseien Ghasan Fahim, Sam Abdul Rahman Mohd, Faridmehr Iman, Baghban Mohammad Hajmohammadian
UTM Construction Research Centre, Institute for Smart Infrastructure and Innovative Construction, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Johor Bahru 81310, Malaysia.
Institute of Architecture and Construction, South Ural State University, Lenin Prospect 76, 454080 Chelyabinsk, Russia.
Materials (Basel). 2021 Mar 6;14(5):1255. doi: 10.3390/ma14051255.
This research investigated the application of epoxy resin polymer as a self-healing strategy for improving the mechanical and durability properties of cement-based mortar. The epoxy resin was added to the concrete mix at various levels (5, 10, 15, and 20% of cement weight), and the effectiveness of healing was evaluated by microstructural analysis, compressive strength, and non-destructive (ultrasonic pulse velocity) tests. Dry and wet-dry conditions were considered for curing, and for generating artificial cracks, specimens at different curing ages (1 and 6 months) were subjected to compressive testing (50 and 80% of specimen's ultimate compressive strength). The results indicated that the mechanical properties in the specimen prepared by 10% epoxy resin and cured under wet-dry conditions was higher compared to other specimens. The degree of damage and healing efficiency index of this particular mix design were significantly affected by the healing duration and cracking age. An optimized artificial neural network (ANN) combined with a firefly algorithm was developed to estimate these indexes over the self-healing process. Overall, it was concluded that the epoxy resin polymer has high potential as a mechanical properties self-healing agent in cement-based mortar.
本研究探讨了环氧树脂聚合物作为一种自修复策略在改善水泥基砂浆力学性能和耐久性方面的应用。将环氧树脂以不同比例(水泥重量的5%、10%、15%和20%)添加到混凝土混合料中,并通过微观结构分析、抗压强度和无损(超声脉冲速度)测试来评估修复效果。养护条件考虑了干湿条件,为产生人工裂缝,对不同养护龄期(1个月和6个月)的试件进行抗压试验(试件极限抗压强度的50%和80%)。结果表明,与其他试件相比,由10%环氧树脂制备并在干湿条件下养护的试件力学性能更高。这种特定配合比设计的损伤程度和修复效率指数受修复持续时间和开裂龄期的显著影响。开发了一种优化的人工神经网络(ANN)与萤火虫算法相结合的方法来估计自修复过程中的这些指数。总体而言,得出结论:环氧树脂聚合物在水泥基砂浆中作为力学性能自修复剂具有很大潜力。