Reinforcement mechanism of nano-SiO2 and polypropylene fibers on concrete abrasion resistance subject to dynamic sandy water

• Published in: Journal of materials research and technology Vol. 27; pp. 1630 - 1650
• Main Authors: Guo, Jinjun, Xia, Xing, Zhang, Peng, Wang, Kun
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2023; Elsevier
• Subjects: Abrasion resistance; Grey theory; Machine learning algorithms; Polypropylene fiber reinforced nano-SiO2 concrete; Polypropylene fiber reinforced nano-SiO2 concrete; Machine learning algorithms; Abrasion resistance; Grey theory

Abrasion resistance of concrete is essential for the safety assessment of hydraulic structures subject to sandy water scouring. In this study, ten types of concrete specimens were designed to investigate the effect of nano-SiO2 (NS) and polypropylene fibers (PF) on the abrasion resistance and mechan...