Analysis of Self-Healing Strategies in Smart Concrete using Fuzzy Analytic Hierarchy Process

Abstract

Despite the fact that the concrete is prone to fracture formation, it is a material that is widely utilized in the construction industry as it is affordable and easily available. Therefore, during the past two decades, there has been a surge in interest in self-healing materials, especially those that have the ability to repair themselves in environmentally friendly and sustainable concrete materials. However, because each research institute uses its own testing methods to determine how effective a treatment is, choosing the most efficient method is difficult. Self-healing concrete, also known as SHC, has the ability to heal and reduces the need to locate and repair internal damage, such as cracks, without the need for intervention from outside the structure. This helps in reducing the costs, increase durability and reduces reinforcement corrosion and concrete deterioration. This study provides a comprehensive overview of SHCs, taking into account the strategies, and effectiveness of self-healing. Based on the application, multiple self-healing concrete strategies are identified through Literature. Using Multi-Criteria Decision Making Tool (MCDM), Fuzzy Analytic Hierarchy Process (FAHP), it is found that out of five factors selected, Ease of Availability Factor got maximum preference and Performance Time Factor got least preference. Among four strategies identified, Chemical based Self-Healing has maximum weight followed by Bacteria based Self-Healing. Natural Self-Healing is least preferred. Besides, limits and future possibilities of SHC, as well as the area of interest research points for future examinations, are additionally effectively featured.