Moment‐curvature behavior of continuous reinforced concrete slab strips—Experimental determination and modeling

Abstract With the market introduction of new reinforcing materials, such as corrosion‐resistant steel, the effect of their stress–strain relationship on the ductility of reinforced concrete structures needs to be evaluated. Their moment‐curvature behavior significantly influences bending moment redistributions, rotation capacity, and deformation at failure of reinforced concrete elements. This article presents 12 experiments on continuous slab strips reinforced with five types of reinforcing steel exhibiting different stress–strain relationships. It proposes new ways to determine curvatures using Digital Image Correlation measurements, with results differing by only 3% between the methods. Among the three introduced approaches, a novel method that deduces crack element rotations from the best fit of the deformation gradient was identified as the most generally applicable. The article discusses modeling approaches for moment‐curvature relationships, focusing on bond shear stresses, crack spacings, steel stress–strain relationships, and the concrete ultimate strain. The curvature at the ultimate state is accurately determined using a bilinear approximation of the steel stress–strain relationship, which proves advantageous since it avoids overestimating tension stiffening at low hardening ratios close to failure while requiring the least amount of prior knowledge.

Authors

Institutions

Publication Details

Journal
Structural Concrete
Published
2026-02-18
DOI
https://doi.org/10.1002/suco.70497
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Moment‐curvature behavior of continuous reinforced concrete slab strips—Experimental determination and modeling

K Thoma, Nathalie Reckinger, Walter Kaufmann
Structural Concrete
Structural Health Monitoring Techniques
article

Moment‐curvature behavior of continuous reinforced concrete slab strips—Experimental determination and modeling

K Thoma, Nathalie Reckinger, Walter Kaufmann
article en

Abstract

Abstract With the market introduction of new reinforcing materials, such as corrosion‐resistant steel, the effect of their stress–strain relationship on the ductility of reinforced concrete structures needs to be evaluated. Their moment‐curvature behavior significantly influences bending moment redistributions, rotation capacity, and deformation at failure of reinforced concrete elements. This article presents 12 experiments on continuous slab strips reinforced with five types of reinforcing steel exhibiting different stress–strain relationships. It proposes new ways to determine curvatures using Digital Image Correlation measurements, with results differing by only 3% between the methods. Among the three introduced approaches, a novel method that deduces crack element rotations from the best fit of the deformation gradient was identified as the most generally applicable. The article discusses modeling approaches for moment‐curvature relationships, focusing on bond shear stresses, crack spacings, steel stress–strain relationships, and the concrete ultimate strain. The curvature at the ultimate state is accurately determined using a bilinear approximation of the steel stress–strain relationship, which proves advantageous since it avoids overestimating tension stiffening at low hardening ratios close to failure while requiring the least amount of prior knowledge.

Structural Concrete
ETH Zurich (CH)
Sustainable cities and communities
Openalex Percentile: Top 52%
Structural Health Monitoring Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.