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A hybrid framework to quantitatively link service damage and stochastic engine flight profiles of turbine disks

delete2026-07-31
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PRE
AI
X
Xiaoguang Yang
M
Muwei Cheng
石多奇 cover
石多奇 (Duoqi Shi)
Y
Yantao Sun
P
Pengfei Ji
X
Xuezhou Song
Y
Yongsheng Fan *
DOI:10.1016/j.ijfatigue.2026.109896delete
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Abstract

Abstract

En 中文
• A data-driven surrogate model for the time-varying load of turbine disks is established. • The stochasticity of engine flight profiles has been quantitatively characterized. • Probabilistic service damage of disks is analyzed using the proposed assessment method. • Characteristics of flight profiles significantly associated with disk service damage are identified.

Journal

International Journal of Fatigue cover
International Journal of Fatigue
IF:
6.8
Papers:
8.7K
Citations:
3.4W

Organization

S
shanghai electric gas turbine co., ltd.
Scholars:
3
Papers: 3
Citations: 0
A
aecc shenyang engine research institute
Scholars:
48
Papers: 37
Citations: 0
B
Beihang University
Scholars:
5.0W
Papers: 4.0W
Citations: 37
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