Fleet economic life prediction: A probabilistic approach including load spectrum variation and structural property variation

He, Xiuli; Dong, Yiyang; Sui, Fangyuan; Yu-hai, LI

doi:10.1016/j.engfracmech.2016.07.002

Cited by 11 publications

(1 citation statement)

References 19 publications

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“…Thus, a better understanding of load variations to which today’s engine hot section components are subjected as well as developing accurate lifing methods is necessary (Beretta et al., 2016; Sandberg et al., 2017; Zhu et al., 2012, 2016). However, few studies have been conducted to quantify the effect of load variations on probabilistic fatigue life prediction and reliability assessment of turbine discs (He et al., 2016). In this regard, this paper aims to establish a framework for probabilistic fatigue life prediction and reliability assessment of an HPT disc by considering cyclic load variations.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic fatigue life prediction and reliability assessment of a high pressure turbine disc considering load variations

Zhu

Liu

Lei

et al. 2017

International Journal of Damage Mechanics

157

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In the present work, a probabilistic framework for fatigue life prediction and reliability assessment of an engine high pressure turbine disc is proposed to incorporate the effects of load variations and mean stress, which provides a reference for engine structural design under a given target failure probability. Within this framework, a new probabilistic fatigue damage accumulation model under random loadings is elaborated based on a ductility exhaustion model, and probabilistic [Formula: see text] curves for the high pressure turbine disc under different flight missions are derived based on experimental data of turbine disc alloy GH4169. The influence of random load variations on fatigue reliability of the high pressure turbine disc has been investigated and quantified by combining the engine load spectrum with finite element analysis.

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