Local bond stress-slip constitutive model between concrete and high ductility cementitious composites with totally recycled fine aggregate
Year: 2025
Type: article
Abstract: High ductility cementitious composites with totally recycled fine aggregate (termed as R-HDCC) could well repair the damaged buildings due to its exceptional stain capacity and crack control ability. Meanwhile, the adoption of R-HDCC could accelerate the application of waste concrete, resulting in a reduction of environmental pollution and consumption of natural resources. Previous research has demonstrated that the interface between R-HDCC and concrete exhibited higher shear strength and deformation capacity compared to that between ordinary high ductility cementitious composite and concrete. To understand the intrinsic cooperative behavior between concrete and R-HDCC, the local bond properties were investigated through the double shear test considering the effects of concrete compressive strength, R-HDCC compressive strength and fiber volume fraction in this study. The experimental results indicated that the relative slip and bond stress of various points on R-HDCC/concrete interface decreased with the increasing in distance to the top surface of specimen. The increasing in concrete and R-HDCC compressive strength induced an increase in the relative slip and bond stress at various points on concrete/R-HDCC interface. The increasing in fiber volume fraction of R-HDCC caused the increase in the slip and bond stress at each point during elastic and hardening stages and the decrease during crack development stage. Finally, based on the average bond stress-slip constitutive model, combined with the equilibrium equation, physical equation, and deformation coordination equation, a local bond stress-slip constitutive model was derived.
Source: Structures
Authors: Mingyan Lv, Danying Gao, Jiyu Tang, Jihao Chen
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,510
Award: G4823733415
OpenAlex ID: W4408143420
