Method censored samples consideration in composite fatigue testing

Gadolina, I. V.; Serebrjakova, I. L.; Smelov, S. I.

doi:10.1088/1742-6596/1990/1/012020

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…To refine the estimate of the fatigue curve, we proposed to introduce data about the censored samples in a special way into equation ( 2) and supplement the equation with fuzzy logic concepts formed based on tomography analysis. We will look for the resulting variable y in the form of a fuzzy ("fuzzy") linear two-parameter regression equation lg Ni = Afuzzy -mfuzzy lg Sai (3) where Afuzzy, mfuzzy -are the equation coefficients to be determined. Like in [13], the independent variables x= lgSa are deterministic.…”

Section: Methodology and Materials Of The Experimentsmentioning

confidence: 99%

“…The problem of estimation by single-censored samples obtained during fatigue testing of PCM (Polymer composite material) specimens using mathematical methods is considered in [2]. The work [3] is devoted to the problems of assessing the quality of PCM. The authors of [4] constructed the prediction intervals for hybrid right censoring with possible left censoring data using suitable pivotal quantities and intervals based on the highest density.…”

Section: Introductionmentioning

confidence: 99%

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Refinement of fatigue curve parameters using fuzzy set theory and tomography images processing of censored composite samples

Gadolina,

Zakharov,

Nisan

et al. 2023

E3S Web of Conf.

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The fatigue curve is important in engineering practice. Since the task of constructing a fatigue curve is characterized, among other things, by the presence of qualitative (not numerical), inaccurate and incomplete information, the question arises of the appropriateness of applying the theory of fuzzy sets. To clarify information on censored, namely, removed from testing upon reaching the test base specimens, the use of computed tomography to study the degree of their damage is proposed. A fuzzy regression model has been developed to consider linguistic variable that describes the status of a sample (broken or censored). With fuzzy dependent variables of the of regression model, the coefficients of the equation also turn out to be fuzzy. For the fuzzy dependent variable of the time before failures of censored samples, the degree of damage is additionally evaluated based on the rating of experts by the analysis of tomography images. The model made it possible to estimate the interval of expected life for a given stress amplitude using an uncertainty accounting method that differs from the classical statistical description. An example of constructing a fuzzy fatigue curve for polymer composite materials is considered.

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Section: Methodology and Materials Of The Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Refinement of fatigue curve parameters using fuzzy set theory and tomography images processing of censored composite samples

Gadolina,

Zakharov,

Nisan

et al. 2023

E3S Web of Conf.

View full text Add to dashboard Cite

show abstract

“…Once censored refers to those cases where all censorings are equal. In [3], the problem of assessing the quality of PCM is analyzed; the author of [4] analyzed the problem of assessing the quality of PCM for mixed data with censoring on the right and left sides. In [5], the authors consider engine position sensors in urban control systems as a means of air traffic monitoring.…”

Section: Introductionmentioning

confidence: 99%

Building the Fatigue Curve Fuzzy Intervals by the Censored Information and Tomography Images

Gadolina,

Sergeevich

2024

JGEU

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Fatigue curves of materials are very important and useful in engineering practice. A problem in the application of fuzzy set theory arises from the availability of qualitative (non-numerical), imprecise, and incomplete information. Such information is often obtained from fatigue test data. We use computed tomography (CT) to study the extent of damage to censored samples. Censored samples are samples that were excluded from testing when they reached base test criteria. A fuzzy regression model was developed taking into account linguistic variables. Linguistic variables determine the status of the samples (censored or damaged). Considering the fuzzy dependent variable in the regression model, the coefficients of the regression equation were also transformed into fuzzy variables. The fuzzy dependent variable is the time before the destruction of the censored sample. After examining the images of the defects, the degree of damage is estimated using expert judgment. The model uses the fuzzy method, from different from the classical statistical interval for a given stress amplitude on the fatigue curve, to estimate the probabilistic service life interval. To illustrate the construction of a fuzzy interval, a fuzzy fatigue curve of a polymer composite with a fuzzy interval is shown.

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Evaluation of the Effect Composite Samples Cyclic Loading on Their Residual Strength

Kazhlaev,

Pugachev,

Gadolina

2024

Lecture Notes in Mechanical Engineering

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Method censored samples consideration in composite fatigue testing

Cited by 3 publications

References 8 publications

Refinement of fatigue curve parameters using fuzzy set theory and tomography images processing of censored composite samples

Refinement of fatigue curve parameters using fuzzy set theory and tomography images processing of censored composite samples

Building the Fatigue Curve Fuzzy Intervals by the Censored Information and Tomography Images

Evaluation of the Effect Composite Samples Cyclic Loading on Their Residual Strength

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