Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty

Zhu, Shun‐Peng; Huang, Hong‐Zhong; Peng, Weiwen; Wang, Hai-Kun; Mahadevan, Sankaran

doi:10.1016/j.ress.2015.10.002

Cited by 257 publications

(112 citation statements)

References 63 publications

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“…Probabilistic modeling of fatigue failure and reliability assessment has been done for various engineering components such as turbine blades [19], turbine disc [20], and railway axles [21], which Statistical analysis of the empirical data is essential for the proper interpretation and prediction of results. There are many statistical methods such as analysis of variance (ANOVA), regression analysis, and correlation for analyzing data and representation of results [16].…”

Section: Resultsmentioning

confidence: 99%

“…However, there was no significant difference between PTU F2 and PTN X3 in terms of CF resistance. Probabilistic modeling of fatigue failure and reliability assessment has been done for various engineering components such as turbine blades [19], turbine disc [20], and railway axles [21], which are subjected to variable loading conditions. Reliability analysis is important for the establishment of suitable safety levels for any device or system.…”

Section: Resultsmentioning

confidence: 99%

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Failure Analysis and Reliability of Ni–Ti-Based Dental Rotary Files Subjected to Cyclic Fatigue

Alqedairi

Alfawaz

Rabba

et al. 2018

Metals

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Abstract:The cyclic fatigue resistance of ProTaper Universal (PTU), ProTaper Gold (PTG), and ProTaper Next (PTN) nickel titanium (NiTi) rotary files was evaluated. Fifteen instruments of each type were selected, totaling 195 files. The instruments were rotated until fracture in an artificial canal with dimensions corresponding to the dimensions of each instrument tested: +0.1 mm in width and 0.2 mm in depth, an angle of curvature of 45 • , a radius of curvature of 5 mm, and a center of curvature 5 mm from the instrument tip. The fracture surfaces of three representative samples of each subgroup were examined using scanning electron microscopy (SEM). Time to fracture was analyzed via analysis of variance and Tukey's tests (P < 0.05). PTG F1 and F2 had significantly higher resistance than PTU F1 and PTN X2, and PTU F2 and PTN X3, respectively. PTN X2 showed a significantly higher resistance than PTU F1. The PTG series demonstrated superior cyclic fatigue (CF) behavior compared with that of the PTU and PTN series.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Failure Analysis and Reliability of Ni–Ti-Based Dental Rotary Files Subjected to Cyclic Fatigue

Alqedairi

Alfawaz

Rabba

et al. 2018

Metals

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“…14,15 The product performance degrades gradually over time. The degradation process of product performance is a dynamic timevarying process.…”

Section: Reliability Analysis Under Time-varying Uncertaintiesmentioning

confidence: 99%

“…There are variant timevarying uncertainties in complex mechanical systems, such as performance degradation of electronic component, strength decrease, material aging, wear, oxidation, and corrosion. 14,15 Although research methods to deal with aleatory and epistemic uncertainties in MDO may largely improve the reliability of complex systems, however, these research methods cannot accurately describe the sources, essential characteristics, and propagation properties of time-varying uncertainties and School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China cannot simply be applied to deal with time-varying uncertainties in MDO.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary reliability design optimization under time-varying uncertainties

Wang

et al. 2016

Advances in Mechanical Engineering

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Degradation failure is one of the main reasons for complex mechanical systems losing their functions. Research on multidisciplinary design optimization under uncertainties should shift from static uncertainties to time-varying uncertainties. Aiming at time-varying uncertainties in mechanical systems, we put forward a multidisciplinary reliability design optimization method using stochastic process theory. First, we investigated the characteristics of time-varying uncertainties in complex mechanical systems, and then utilized stochastic process theory to quantify time-varying uncertainties. Second, through combining the multidisciplinary simultaneous analysis and design optimization method, the model of multidisciplinary design optimization under time-varying uncertainties is established. Moreover, a mathematical problem and an engineering example are provided to illustrate the accuracy and effectiveness of the proposed method.

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“…[1][2][3][4][5][6][7][8][9][10] The probability theory is one of the classical methods which is commonly used in RBMDO. Generally, it could be effective when sufficient uncertainty information is available and the probability distributions of random design variables can be obtained easily.…”

Section: Introductionmentioning

confidence: 99%

A concurrent reliability optimization procedure in the earlier design phases of complex engineering systems under epistemic uncertainties

Meng

Zhang²

2016

Advances in Mechanical Engineering

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Concurrent engineering has obtained increasing attention to solve the design problems of multidisciplinary systems. In practical engineering, there are epistemic uncertainties during whole design cycle of complex systems. Especially in earlier design phases, the effects of epistemic uncertainties are not usually easy to be quantified. It is because design information is insufficient. Furthermore, commonly used probability theory is also not suitable to be utilized. In this situation, epistemic uncertainties will be introduced unavoidably by mathematical models or simulation tools and may affect the performance of complex system significantly. To solve this problem, evidence theory is introduced and combined with the collaborative optimization method in this study. An evidence-based collaborative reliability optimization method is also proposed. Evidence theory is a powerful approach to handle epistemic uncertainties by Plausibility and Belief. Meanwhile, collaborative optimization is widely utilized in the concurrent design of complex systems. An aircraft conceptual design problem is utilized to show the application of the proposed method.

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Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty

Cited by 257 publications

References 63 publications

Failure Analysis and Reliability of Ni–Ti-Based Dental Rotary Files Subjected to Cyclic Fatigue

Failure Analysis and Reliability of Ni–Ti-Based Dental Rotary Files Subjected to Cyclic Fatigue

Multidisciplinary reliability design optimization under time-varying uncertainties

A concurrent reliability optimization procedure in the earlier design phases of complex engineering systems under epistemic uncertainties

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