2007
DOI: 10.1007/s11595-006-3564-6
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Residual tensile strength of plain concrete under tensile fatigue loading

Abstract: The functional relation between the residual tensile strength of plain concrete and number of cycles was determined. 99 tappered prism specimens of plain concrete were tested under uniaxial tensile fatigue loading. Based on the probability distribution of the residual tensile strength, the empirical expressions of the residual tensile strength corresponding to the number of cycles were obtained. The residual tensile strength attenuating curves can be used to predict the residual fatigue life of the specimen un… Show more

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Cited by 13 publications
(2 citation statements)
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“…There are only a few investigations documented in the literature on the residual strength of concrete under cyclic tensile loading [30][31][32][33][34] and no studies on the analysis of the residual fracture toughness. Although the residual strength of concrete under cyclic compressive stress has been recognized in the past, it is not identified and described with sufficient accuracy under cyclic tensile stress.…”
Section: Post-fatigue Analysis Of Residual Fracture Toughnessmentioning
confidence: 99%
“…There are only a few investigations documented in the literature on the residual strength of concrete under cyclic tensile loading [30][31][32][33][34] and no studies on the analysis of the residual fracture toughness. Although the residual strength of concrete under cyclic compressive stress has been recognized in the past, it is not identified and described with sufficient accuracy under cyclic tensile stress.…”
Section: Post-fatigue Analysis Of Residual Fracture Toughnessmentioning
confidence: 99%
“…The collection and filtering process of original experimental data is one of the most important procedures in the application of machine learning technique. A total of 1000 and 10 sets of experimental data were collected from 30 independent experiments, 16,19,22–49 and their dimensional and materials properties are summarized in Data S1. Note that only the plain concrete specimens were collected in this study.…”
Section: Machine Learning Modelsmentioning
confidence: 99%