Mechanical performance and Machine Learning-Based prediction of punch shear strength in Basalt/Glass fiber reinforced composites

Puntos clave

• Punch shear strength improves significantly with fiber reinforcement in composites, contributing to structural integrity.
• Machine learning algorithms were employed to analyze performance metrics across various composite samples.
• Assessment included both basalt and glass fiber composites, assessing their mechanical characteristics in real-time.
• These findings may enable advanced applications in construction and materials engineering, highlighting the importance of fiber selection.