A method for long-term creep–rupture strength prediction based on a small sample of experimental results, smoothed bootstrapping and time–temperature parameters

Šeruga, Domen; Nagode, Marko

doi:10.1016/j.matdes.2014.11.011

Cited by 13 publications

(12 citation statements)

References 35 publications

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“…To quantitatively analyze stitch size, a total of 100 stitches were measured on each sample and the distribution of stitch size was assessed via box chart plotted in Figure 7 . The bottom, internal, and top bands of the box represent the first quartiles (25%), median value (50%), and third quartiles (75%), respectively [ 39 , 40 ]. The lower and upper ends of the whisker are the 10th and 90th percentiles of the distribution, respectively.…”

Section: Resultsmentioning

confidence: 99%

In Vitro Evaluation and Mechanism Analysis of the Fiber Shedding Property of Textile Pile Debridement Materials

Xie

Lao

et al. 2016

Materials

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Fiber shedding is a critical problem in biomedical textile debridement materials, which leads to infection and impairs wound healing. In this work, single fiber pull-out test was proposed as an in vitro evaluation for the fiber shedding property of a textile pile debridement material. Samples with different structural design (pile densities, numbers of ground yarns and coating times) were prepared and estimated under this testing method. Results show that single fiber pull-out test offers an appropriate in vitro evaluation for the fiber shedding property of textile pile debridement materials. Pull-out force for samples without back-coating exhibited a slight escalating trend with the supplement in pile density and number of ground yarn plies, while back-coating process significantly raised the single fiber pull-out force. For fiber shedding mechanism analysis, typical pull-out behavior and failure modes of the single fiber pull-out test were analyzed in detail. Three failure modes were found in this study, i.e., fiber slippage, coating point rupture and fiber breakage. In summary, to obtain samples with desirable fiber shedding property, fabric structural design, preparation process and raw materials selection should be taken into full consideration.

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Section: Resultsmentioning

confidence: 99%

In Vitro Evaluation and Mechanism Analysis of the Fiber Shedding Property of Textile Pile Debridement Materials

Xie

Lao

et al. 2016

Materials

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“…In other words, a further analysis and results from this parameter estimate could be doubtful due to the accurateness of the predecessor analysis. Some phenomenon like the prediction analysis when involving small data set always produce misleading result (Šeruga and Nagode, 2015;Bello et al, 2015). Thus, the estimation results from a small sample data set, for instance, the sample mean and sample standard deviation, are not suitable to justify the generalisation of the true population.…”

Section: Small Sample Size and Bootstrap Approachmentioning

confidence: 99%

Statistical distribution for initial crack and number of loading in fatigue crack growth process

Januri

2017

Int. j. adv. appl. sci.

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A statistical distribution for crack growth technique is one of the important issues emerging from the fatigue crack propagation process. This study aims to compare three different statistical distributions for providing the best modelling of the fatigue data. The normal, the lognormal and the Weibull distribution are compared for determining a better fit for the variables. Kolmogorov-Smirnov has been chosen as the criterion of the best distribution of the variables. Ten replicate specimens of aluminium alloy A7075-T6 in constant amplitude crack tests were conducted. The number of cycles for the formation of the initial crack and initial crack length were taken as random variables. A Bootstrap approach was applied for ensuring that the chosen distribution was the best representative for this type of variables since small data was incorporated in this analysis, it was not suitable to justify the true population. Thus, the result showed that the lognormal distribution was the best distribution to represent the number of cycles and the length of the initial crack. It was found that whether the normal and lognormal types were suitable for those variables, the lognormal was more conservative for these types of variables. These two variables played the main role in life prediction. Therefore, an analysis of the statistical distribution is highly important. It is believed that these results lead to the significant prediction of fatigue lifetime.

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“…Commonly used parameter extrapolation methods include the Larson-Miller parameter method, Manson-Haferd parameter, and Orr-Sherby-Dorn parameter. [2][3][4] The advantage of the phenomenological model lies in its ability to analyze test data through nonlinear regression, thereby minimizing extrapolation errors during mathematical processing. This enables the extrapolation of long-term creep life from short-term test results.…”

Section: Introductionmentioning

confidence: 99%

Prediction of creep deformation based on the Z_c parameter method

Kang,

Cao,

Cheng

et al. 2023

Fatigue Fract Eng Mat Struct

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The prediction method of creep curve based on Zc parameter is proposed. The Zc parameter method is capable of effectively predicting creep curves and parameters (creep rate, minimum creep rate, and creep rupture life) under various experimental conditions, even with limited data. The predicted results are in accordance with experimental data, and all predictions are entirely within a 95% confidence interval, demonstrating the predictive reliability of the Zc method. Furthermore, on the premise of ensuring the accuracy of prediction, the setting of creep rupture strain for predicting creep rupture time using the Zc parameter method has a considerable range of options.

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A method for long-term creep–rupture strength prediction based on a small sample of experimental results, smoothed bootstrapping and time–temperature parameters

Cited by 13 publications

References 35 publications

In Vitro Evaluation and Mechanism Analysis of the Fiber Shedding Property of Textile Pile Debridement Materials

In Vitro Evaluation and Mechanism Analysis of the Fiber Shedding Property of Textile Pile Debridement Materials

Statistical distribution for initial crack and number of loading in fatigue crack growth process

Prediction of creep deformation based on the Z_c parameter method

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A method for long-term creep–rupture strength prediction based on a small sample of experimental results, smoothed bootstrapping and time–temperature parameters

Cited by 13 publications

References 35 publications

In Vitro Evaluation and Mechanism Analysis of the Fiber Shedding Property of Textile Pile Debridement Materials

In Vitro Evaluation and Mechanism Analysis of the Fiber Shedding Property of Textile Pile Debridement Materials

Statistical distribution for initial crack and number of loading in fatigue crack growth process

Prediction of creep deformation based on the Zc parameter method

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Product

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Prediction of creep deformation based on the Z_c parameter method