Stochastic Characteristics of Fatigue Crack Propagation for TA15 Titanium Alloy

Bao, Rui; Zhang, Jian Yu; Yang, Hanwei; Fei, Bin Jun

doi:10.4028/www.scientific.net/kem.417-418.873

Cited by 2 publications

(2 citation statements)

References 7 publications

(5 reference statements)

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“…The flowchart of fatigue crack growth probabilistic analysis on the turbine disk at high temperature is shown in Figure 4. The time‐dependent uncertainty in crack growth is modeled by a non‐negative stationary random process, reflecting the uncertainty of material at high temperature referred to Yang's model (Salivar, 1988; Yang, 1982, 2009; Bao, 2010). To justify the applicability of the probabilistic model, fatigue crack growth data at high temperature obtained from the experiments are needed.…”

Section: Probabilistic Design Process For Turbine Disk At High Temperaturementioning

confidence: 99%

Probabilistic design for turbine disk at high temperature

Wang²,

Tao³

2011

Aircraft Eng & Aerospace Tech

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PurposeA probabilistic‐based design for turbine disk at high temperature can quantify risk and thus identify areas of possible overdesign (conservatism). Moreover, the need for cost‐effective designs has resulted in the development of probabilistic design to quantify the effects of these uncertainties so as to improve the reliability of the component. This paper aims to address these issues.Design/methodology/approachThe flow for probabilistic design established through investigating traditional design methods of the turbine disk at high temperature is divided into the processes of crack initiation and crack growth to find important design inputs at each course, where the probabilistic design criterion has been built based on the deterministic criteria and successful experiences.FindingsThe probabilistic‐based design procedure has been demonstrated by taking the reliability design of crack initiation process for turbine disk as the example. The reliability analysis for the disk life after optimization analysis was completed by considering random parameters reflecting the uncertainties. The results showed there was a margin in design for disk life referred to as the probabilistic criterion. This measure was taken by redesigning the structure to reduce the disk's weight within the range of reliability.Practical implicationsThe present study provides a method to design aero‐engine components based on probabilistic design for further research.Social implicationsMoreover, the present study provides a way to design structures based on probabilistic design.Originality/valueIt is proved that probabilistic‐based design could produce a lower weight turbine disk by integrating well‐proved deterministic design methods and tools with probabilistic design techniques while maintaining low failure probability.

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Section: Probabilistic Design Process For Turbine Disk At High Temperaturementioning

confidence: 99%

Probabilistic design for turbine disk at high temperature

Wang²,

Tao³

2011

Aircraft Eng & Aerospace Tech

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“…Previously, KolmogorovSmirnov's goodness of fit test was used to select the best distribution among five distributions (Normal, 2-parameter lognormal, 3-parameter lognormal, 2-parameter Weibull and 3-parameter Weibull distributions) and based on the test, only the classical lognormal was seen to be suitable for the best fitting distribution for the HDPE structures (Khelif et al, 2008). Another study by Bao et al (2009) found that the crack growth rate could be considered reasonably to follow the log-normal distribution in all the three stress levels (260MPa, 280MPa and 320MPa) and verified by the value from the Chi-Square goodness of fit test. The purpose of this study is to determine the statistical distribution of the two variables: initial crack length and a random number of loading.…”

Section: Related Workmentioning

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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Stochastic Characteristics of Fatigue Crack Propagation for TA15 Titanium Alloy

Cited by 2 publications

References 7 publications

Probabilistic design for turbine disk at high temperature

Probabilistic design for turbine disk at high temperature

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

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