2020
DOI: 10.1016/j.coco.2019.11.016
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Weibull analysis of fatigue test in jute reinforced polyester composite material

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Cited by 25 publications
(18 citation statements)
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“…The definition of the two‐parameter Weibull distribution analysis is given by. [ 45 ] Fσ=βα×()σαβ1×eσα;σ0, where, Fσ is the probability of failure of the specimen. σ is measured stress.…”
Section: Resultsmentioning
confidence: 99%
“…The definition of the two‐parameter Weibull distribution analysis is given by. [ 45 ] Fσ=βα×()σαβ1×eσα;σ0, where, Fσ is the probability of failure of the specimen. σ is measured stress.…”
Section: Resultsmentioning
confidence: 99%
“…The DFR model is a set of theoretic equations that can be used to correct the S-N curve depending on the experimental data from the bench test. DFR hypothesizes that the fatigue life obeys the two-parameter Weibull distribution while the stress amplitude S a and fatigue life N vary with the inverse relationship in the long-life regime (N > 10 4 ) [16]. The equivalent life curves are straight lines and all of them intersect with the abscissa axis at S m0 (material parameter) in the long-life regime.…”
Section: The Corrected S-n Curve By the Dfr Methods Depending On The Beam Structurementioning
confidence: 99%
“…The longevity region is the life interval which distributed like Weibull with the cycle times between 10 4 -10 6 [16]. According to the DFR method, the linear relation between cycle times N and stress S a is, (0.47DFR) B + lg…”
Section: The Corrected S-n Curve By the Dfr Methods Depending On The Beam Structurementioning
confidence: 99%
“…For composite materials, the Weibull distribution has been proved to be particularly suitable for describing the distribution of fatigue life. 27 Under a certain stress level S , the probability of fatigue life N is the survival rate P . Here, Weibull distribution was used to study the probability distribution of the tensile fatigue life of PFRC, and the P-S-N curves based on the three parameter Weibull distribution were developed.…”
Section: Fatigue Life Model Considering Dispersionmentioning
confidence: 99%