Finite element modelling of cracking behaviour of reinforced concrete tensile members using a phase field approach

Modelling the cracking behaviour of reinforced concrete (RC) elements remains a major challenge due to the inherent heterogeneity of concrete and the complex interaction with steel reinforcement. Existing finite element (FE) approaches are restricted to simplified 2D representations, depend on predefined crack paths, or do not incorporate the material heterogeneity of RC in three dimensions. This study presents a 3D FE framework in Abaqus to model the cracking behaviour of RC tie elements, combining a phase field formulation with stochastic random fields (RF) to represent spatial variability in tensile strength and fracture toughness. Parametric studies demonstrate the influence of key modelling parameters, including the phase field length scale, solution scheme, and correlation length of the RF. The numerical results are validated against experimental data from RC tie tests in the literature, and demonstrate good agreement in the global load–displacement response and localised crack patterns. The study shows that the proposed approach is a robust predictive tool able to capture the uncertainty arising from local material heterogeneity, and can simulate diverse crack initiation and propagation scenarios in RC. • A 3D FE framework couples phase field and stochastic random fields in Abaqus. • Spatial variability of tensile strength and fracture toughness is incorporated. • Parametric studies show effects of phase field length scale and correlation length. • Numerical results agree with experimental RC tie tests in load–displacement response. • The method predicts crack appearance with patterns similar to those observed experimentally.

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Publication Details

Journal
Engineering Fracture Mechanics
Published
2026-01-02
DOI
https://doi.org/10.1016/j.engfracmech.2025.111835
Primary Topic
Numerical methods in engineering
Type
article
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article

Finite element modelling of cracking behaviour of reinforced concrete tensile members using a phase field approach

Mauricio Barahona, Laura Carreras, Cristina Barris
Engineering Fracture Mechanics
Numerical methods in engineering
article

Finite element modelling of cracking behaviour of reinforced concrete tensile members using a phase field approach

Mauricio Barahona, Laura Carreras, Cristina Barris
article en

Abstract

Modelling the cracking behaviour of reinforced concrete (RC) elements remains a major challenge due to the inherent heterogeneity of concrete and the complex interaction with steel reinforcement. Existing finite element (FE) approaches are restricted to simplified 2D representations, depend on predefined crack paths, or do not incorporate the material heterogeneity of RC in three dimensions. This study presents a 3D FE framework in Abaqus to model the cracking behaviour of RC tie elements, combining a phase field formulation with stochastic random fields (RF) to represent spatial variability in tensile strength and fracture toughness. Parametric studies demonstrate the influence of key modelling parameters, including the phase field length scale, solution scheme, and correlation length of the RF. The numerical results are validated against experimental data from RC tie tests in the literature, and demonstrate good agreement in the global load–displacement response and localised crack patterns. The study shows that the proposed approach is a robust predictive tool able to capture the uncertainty arising from local material heterogeneity, and can simulate diverse crack initiation and propagation scenarios in RC. • A 3D FE framework couples phase field and stochastic random fields in Abaqus. • Spatial variability of tensile strength and fracture toughness is incorporated. • Parametric studies show effects of phase field length scale and correlation length. • Numerical results agree with experimental RC tie tests in load–displacement response. • The method predicts crack appearance with patterns similar to those observed experimentally.

Engineering Fracture MechanicsVol. 333
Universitat de Girona (ES)
Sustainable cities and communities
Openalex Percentile: Top 98%
Numerical methods in engineering
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