Probabilistic-based assessment for tensile strain-hardening potential of fiber-reinforced cementitious composites

• Main Authors: Li, Junxia, Yang, En-Hua
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Civil engineering; Tensile Strain-hardening; Fiber-reinforced Cementitious Composites (FRCC)
• Online Access: https://hdl.handle.net/10356/139857
• Institution: Nanyang Technological University

This paper presents a novel probabilistic-based approach considering material heterogeneity to assess the tensile strain-hardening potential of fiber-reinforced cementitious composites (FRCC). Multivariate adaptive regression splines (MARS) method is used to explicitly express the performance indice...