Performance analysis of fiber reinforced concrete using DEA and TOPSIS
摘要
Concrete is one of the most widely used materials in the construction industry due to its advantages, such as low cost, weather resistance, and high compressive strength. However, it lacks tensile strength which can lead to structural vulnerabilities. While steel reinforcement can enhance tensile strength, it is prone to corrosion, potentially compromising concrete integrity. Fiber-reinforced concrete (FRC) offers an alternative solution, as fibers can reduce crack widths, thereby improving the durability of the concrete. Various types of fibers, including steel, polymer, glass, natural and hybrid mixes, are used to enhance concrete properties. This study investigates the performance of fiber-reinforced concrete with a focus on steel, glass, basalt and polymer fibers, along with hybrid mixes of fibers. The mechanical properties evaluated include com- pressive strength, flexural strength and tensile strength. To evaluate the impact of fiber type and content on mechanical properties, ANOVA was conducted. A Data Envelopment Analysis (DEA) approach is employed to assess the efficiency of different concrete mixes, using the amounts of water, cement, fine aggregates, coarse aggregates, and fiber content as inputs and the mechanical properties as outputs. Super efficiency DEA model is used to further rank the efficient specimens. DEA identifies PPFRC.25, SPHFRC2, MFRC1.5, and MFRC2 as the most efficient FRC mixes. To refine the assessment, the TOPSIS method is utilized to rank the efficiency of the specimens, giving more weight to the desired output properties. The findings highlight that SFRC specimens perform best when compressive strength is prioritized, whereas polymer and hybrid fiber specimens excel in flexural and tensile properties. This study provides a robust framework for selecting optimal FRC mixes based on specific structural applications, contributing to efficient construction practices.