Numerical Prediction for Reinforced Concrete Beams Subjected to Monotonic Fatigue Loading Using Various Concrete Damage Models

In the literature, fatigue-loaded reinforced concrete (RC) beams have been the subject of several experimental investigations; however, few numerical studies have specifically examined this behavior. The primary goal of this study is to create and validate a comprehensive nonlinear finite element (FE) modeling framework that combines an existing concrete damage model with specialized modelling techniques (e.g., material modelling, structural modelling, mesh configuration) to forecast the behaviour of reinforced concrete beams under monotonic fatigue loads and track the failure progress. This was accomplished by implementing suitable constitutive and structural models pertaining to concrete and reinforcing steel using VecTor2 finite element software. The Lü concrete damage model, which accounts for the accumulated damage in the concrete at each loading cycle, was taken from the literature to enhance the numerical findings. A number of published experimental tests conducted under monotonic fatigue loading were used to assess the accuracy of the suggested numerical model. The obtained numerical results demonstrated that the FE model may be used to simulate the monotonic fatigue behaviour of various RC beam types. The monotonic fatigue results were significantly improved by applying the Lü concrete damage model. Additionally, the FE model was implemented into practice to offer valuable information on failure mechanisms, fracture patterns, and strain profiles at different loading cycles.

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Publication Details

Journal
Buildings
Published
2025-12-30
DOI
https://doi.org/10.3390/buildings16010175
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
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article

Numerical Prediction for Reinforced Concrete Beams Subjected to Monotonic Fatigue Loading Using Various Concrete Damage Models

Nagwa Ibrahim, Said Elkholy, Ahmed Godat
Buildings
Structural Behavior of Reinforced Concrete
article

Numerical Prediction for Reinforced Concrete Beams Subjected to Monotonic Fatigue Loading Using Various Concrete Damage Models

Nagwa Ibrahim, Said Elkholy, Ahmed Godat
article en

Abstract

In the literature, fatigue-loaded reinforced concrete (RC) beams have been the subject of several experimental investigations; however, few numerical studies have specifically examined this behavior. The primary goal of this study is to create and validate a comprehensive nonlinear finite element (FE) modeling framework that combines an existing concrete damage model with specialized modelling techniques (e.g., material modelling, structural modelling, mesh configuration) to forecast the behaviour of reinforced concrete beams under monotonic fatigue loads and track the failure progress. This was accomplished by implementing suitable constitutive and structural models pertaining to concrete and reinforcing steel using VecTor2 finite element software. The Lü concrete damage model, which accounts for the accumulated damage in the concrete at each loading cycle, was taken from the literature to enhance the numerical findings. A number of published experimental tests conducted under monotonic fatigue loading were used to assess the accuracy of the suggested numerical model. The obtained numerical results demonstrated that the FE model may be used to simulate the monotonic fatigue behaviour of various RC beam types. The monotonic fatigue results were significantly improved by applying the Lü concrete damage model. Additionally, the FE model was implemented into practice to offer valuable information on failure mechanisms, fracture patterns, and strain profiles at different loading cycles.

BuildingsVol. 16(1)
Ajman University (AE), United Arab Emirates University (AE), Fayoum University (EG)
Sustainable cities and communities
Openalex Percentile: Top 37%
Structural Behavior of Reinforced Concrete
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Numerical Prediction for Reinforced Concrete Beams Subjected to Monotonic Fatigue Loading Using Various Concrete Damage Models — Nagwa Ibrahim, Said Elkholy, et al. · Buildings (2025) | TGRS Research Map | TGRS