Image Processing-Based Crack Analysis on Splitting Tensile Strength Test

Abstract

Nowadays, fiber reinforcement is widely utilized to enhance the performance of concrete and mitigate crack formation. By improving the tensile strength of concrete, fiber reinforcement hinders the initiation and propagation of cracks and emerges as an effective method for increasing long-term durability. In recent years, image processing techniques have also provided innovative approaches for the detection and monitoring of cracks on concrete surfaces. These methods enable the precise identification of cracks, thereby facilitating early detection of potential structural damage. This study aims to examine the influence of basalt fiber reinforcement on the mechanical and physical properties of concrete. Basalt fibers were incorporated into concrete mixtures at four different dosages: 1 kg/m³, 2 kg/m³, 3 kg/m³, and 4 kg/m³. The impact of basalt fiber content on crack initiation and propagation was evaluated using an image processing-based approach. Furthermore, the effects of basalt fiber reinforcement on water absorption, porosity, capillary water absorption, and electrical resistivity were investigated. The findings indicate that basalt fiber reinforcement is notably effective in reducing crack formation and propagation in concrete. However, the optimum fiber dosage should be determined through preliminary testing to ensure balanced performance.

Keywords

• Basalt Fiber
• Fibrous Concrete
• Image-Processing Techniques
• Crack Analysis

Ethical Statement

There are no ethical issues after the publication of this manuscript.

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