Fatigue Life Estimation Model for Plain Concrete Under Uniaxial Stress Reversal Loading

ABSTRACT The fatigue life of plain concrete under uniaxial stress reversal loading conditions has been scarcely addressed in the literature. Predicting the fatigue life of plain concrete under different stress reversal loading conditions provides valuable insight during the design phase of any major project. After combining the fatigue test results of 40 years of experimental data into one comprehensive database, a simple model is proposed in this study to estimate the shape and scale parameters of a two‐parameter Weibull distribution that appropriately describes the fatigue life of concrete in uniaxial stress reversal. The model was developed considering 201 experimental data points and uses only the maximum stress level as an input, simplifying its application and use. The model's validity is checked against experimental data available in the literature. The comparison shows a good agreement between the results, showing a mean absolute percentage error below 12% for all stress levels. A methodology is also presented to modify the model based on the number of available experimental tests. This is particularly useful for cases where the safety level is paramount and a more conservative result is desired. The efficacy of the proposed adjustment is tested against experimental data not used for model development. The results indicate the method's capability to yield conservative fatigue life estimations with reasonable efficacy.

Authors

Institutions

Publication Details

Journal
Fatigue & Fracture of Engineering Materials & Structures
Published
2025-09-20
DOI
https://doi.org/10.1111/ffe.70093
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fatigue Life Estimation Model for Plain Concrete Under Uniaxial Stress Reversal Loading

Graziano Fiorillo, Dagmar Svecova, Eduardo Ferreira, Payam Sotoudeh
Fatigue & Fracture of Engineering Materials & Structures
Structural Behavior of Reinforced Concrete
article

Fatigue Life Estimation Model for Plain Concrete Under Uniaxial Stress Reversal Loading

Graziano Fiorillo, Dagmar Svecova, Eduardo Ferreira, Payam Sotoudeh
article en

Abstract

ABSTRACT The fatigue life of plain concrete under uniaxial stress reversal loading conditions has been scarcely addressed in the literature. Predicting the fatigue life of plain concrete under different stress reversal loading conditions provides valuable insight during the design phase of any major project. After combining the fatigue test results of 40 years of experimental data into one comprehensive database, a simple model is proposed in this study to estimate the shape and scale parameters of a two‐parameter Weibull distribution that appropriately describes the fatigue life of concrete in uniaxial stress reversal. The model was developed considering 201 experimental data points and uses only the maximum stress level as an input, simplifying its application and use. The model's validity is checked against experimental data available in the literature. The comparison shows a good agreement between the results, showing a mean absolute percentage error below 12% for all stress levels. A methodology is also presented to modify the model based on the number of available experimental tests. This is particularly useful for cases where the safety level is paramount and a more conservative result is desired. The efficacy of the proposed adjustment is tested against experimental data not used for model development. The results indicate the method's capability to yield conservative fatigue life estimations with reasonable efficacy.

Fatigue & Fracture of Engineering Materials & StructuresVol. 48(12)
University of Manitoba (CA)
Openalex Percentile: Top 72%
Structural Behavior of Reinforced Concrete
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.