2018
DOI: 10.1016/j.ijfatigue.2018.06.022
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Number of tests and corresponding error in concrete fatigue

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Cited by 49 publications
(13 citation statements)
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“…For each mixture, five samples were prepared for each stress level to ensure the reliability of the results. A previous study by Ortega et al [46] stated that the observed error in experimental fatigue life is related to the number of fatigue tests performed and the desired safety level, i.e., the higher the number of performed tests, the lower the potential error would exist in the result. This study aims to evaluate the effect of RTPF on the trend of fatigue behaviour as a pioneer, in order to further explore the feasibility of applying RTPF in cementitious materials.…”
Section: Compressive Strengthmentioning
confidence: 99%
“…For each mixture, five samples were prepared for each stress level to ensure the reliability of the results. A previous study by Ortega et al [46] stated that the observed error in experimental fatigue life is related to the number of fatigue tests performed and the desired safety level, i.e., the higher the number of performed tests, the lower the potential error would exist in the result. This study aims to evaluate the effect of RTPF on the trend of fatigue behaviour as a pioneer, in order to further explore the feasibility of applying RTPF in cementitious materials.…”
Section: Compressive Strengthmentioning
confidence: 99%
“…Thus, The amount of 500,000 random values were generated as samples of each variable using latin hypercube method within Monte Carlo simulation in order to obtain probabilistic outcomes for R Nt . This number of samples was the amount necessary to have a convergence of the output variance of the response (Ortega et al, 2018). Therefore, the reliability analysis could be based on a converged solution of the Monte Carlo simulations.…”
Section: Probabilistic Simulationsmentioning
confidence: 99%
“…Current studies have suggested that fatigue life generally obeys a lognormal distribution; however, in recent years, some studies proposed very sophisticated modeling approaches by two-parameter or three-parameter Weibull distribution from statistical viewpoint [18,23,25,26] to simulate the probability distribution of fatigue life. According to the Weibull distribution theory, the safe life or the minimum safe life in the range of an extremely high guarantee rate (99-100%) is still in agreement with the actual situation.…”
Section: Establishing the Fatigue Equation Based On The Weibull Distrmentioning
confidence: 99%
“…They established the prediction model for the indoor fatigue life of different structural material specimens. Ortega et al [25] conducted random samples of 100 compressive fatigue test of concrete, the experimentally-fitted probabilistic distributions by failure probability and logN results found that an error in terms of fatigue life that depends on the number of tests. Through statistical resampling, this relationship has been obtained for the two-parameter Weibull probabilistic distribution fitted to a set of 100 tests results.…”
Section: Introductionmentioning
confidence: 99%