Steel and Composite Structures
Volume 57, Number 2, 2025, pages 101-119
DOI: 10.12989/scs.2025.57.2.101
Advanced non-linear analysis of composite cold-formed steel and reinforced concrete floor systems
Omar A. Shamayleh and Harry Far
Abstract
This study presents an advanced non-linear finite element analysis (FEA) of composite flooring systems comprising
cold-formed steel (CFS) joists and reinforced concrete slabs, aiming to address the limited representation of such hybrid systems
in current design standards. The research develops a validated 3D ANSYS model incorporating multi-linear material behaviour,
contact interactions, and large deformation effects under static and cyclic loading. Key phenomena—including bolt slip, plastic
hinge formation, and strain redistribution—were captured, with validation against benchmark experiments yielding a mean
absolute error (MAE) of 23.75 kN and root mean squared error (RMSE) of 33.72 kN. Fatigue performance was assessed using
both stress-life (S–N) and strain-life (ε–N) methods, with results showing a critically low life of 0.85 cycles at the upper slab in
stress-based analysis and 75.45 cycles at support zones in strain-based analysis, validating the latter's applicability for brittle
concrete fatigue modelling. Crack sensitivity was investigated using a J-Integral fracture approach applied to a 25 mm notch at
mid-span, revealing high stress intensity prior to arrest by reinforcement. A targeted numerical investigation of different
reinforcement layouts indicated that reducing rebar spacing by 10 mm produced an average 8% decrease in peak J-Integral,
underscoring the importance of layout configuration in fracture control. The study
Key Words
composite flooring; dynamic loading; failure modes; fatigue crack propagation; Finite Element Analysis (FEA); J-Integral; connectors; mode shapes; non-linear analysis; stress distribution; stress intensity factors; structural optimization
Address
Omar A. Shamayleh: School of Civil and Environmental Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), Sydney, Australia
Harry Far: School of Civil and Environmental Engineering, Faculty of Engineering and Information Technology,
University of Technology Sydney (UTS), Sydney, Australia