Stochastic modeling of fatigue crack growth for bolt holes in turbine disc

Guanjie Cao; Xi Liu; Dianyin Hu; Jianxing Mao; Tengyue Tian; Rongqiao Wang

doi:10.1016/j.ijfatigue.2023.107504

Stochastic modeling of fatigue crack growth for bolt holes in turbine disc

Guanjie Cao
, Xi Liu^*
, Dianyin Hu
, Jianxing Mao
, Tengyue Tian
, Rongqiao Wang

^*此作品的通讯作者

Beihang University
Beijing Key Laboratory of Aero-Engine Structure and Strength
United Research Center of Mid-Small Aero-Engine

科研成果: 期刊稿件 › 文章 › 同行评审

20 引用（Scopus）

摘要

The stochastic fatigue crack growth (FCG) modeling method is established for bolt holes in the turbine disc. Through analyzing the FCG experimental of standard compact tension (CT) specimens, a Wiener process is firstly established based on the failure mechanism to describe the stochastic FCG process, and then extended to the component-like and component level. The accuracy of the established model is verified by the experiments of bolt hole plate (BHP) specimens. Finally, the reliability analysis framework is constructed and verified for the turbine disc with multiple cracks based on the Copula function.

源语言	英语
文章编号	107504
期刊	International Journal of Fatigue
卷	169
DOI	https://doi.org/10.1016/j.ijfatigue.2023.107504
出版状态	已出版 - 4月 2023

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@article{38c3b62c0d6348a69e6cf8371566badf,

title = "Stochastic modeling of fatigue crack growth for bolt holes in turbine disc",

abstract = "The stochastic fatigue crack growth (FCG) modeling method is established for bolt holes in the turbine disc. Through analyzing the FCG experimental of standard compact tension (CT) specimens, a Wiener process is firstly established based on the failure mechanism to describe the stochastic FCG process, and then extended to the component-like and component level. The accuracy of the established model is verified by the experiments of bolt hole plate (BHP) specimens. Finally, the reliability analysis framework is constructed and verified for the turbine disc with multiple cracks based on the Copula function.",

keywords = "Copula function, Fatigue crack growth, Stochastic modeling, Turbine disc, Wiener process",

author = "Guanjie Cao and Xi Liu and Dianyin Hu and Jianxing Mao and Tengyue Tian and Rongqiao Wang",

note = "Publisher Copyright: {\textcopyright} 2023",

year = "2023",

month = apr,

doi = "10.1016/j.ijfatigue.2023.107504",

language = "英语",

volume = "169",

journal = "International Journal of Fatigue",

issn = "0142-1123",

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TY - JOUR

T1 - Stochastic modeling of fatigue crack growth for bolt holes in turbine disc

AU - Cao, Guanjie

AU - Liu, Xi

AU - Hu, Dianyin

AU - Mao, Jianxing

AU - Tian, Tengyue

AU - Wang, Rongqiao

PY - 2023/4

Y1 - 2023/4

N2 - The stochastic fatigue crack growth (FCG) modeling method is established for bolt holes in the turbine disc. Through analyzing the FCG experimental of standard compact tension (CT) specimens, a Wiener process is firstly established based on the failure mechanism to describe the stochastic FCG process, and then extended to the component-like and component level. The accuracy of the established model is verified by the experiments of bolt hole plate (BHP) specimens. Finally, the reliability analysis framework is constructed and verified for the turbine disc with multiple cracks based on the Copula function.

AB - The stochastic fatigue crack growth (FCG) modeling method is established for bolt holes in the turbine disc. Through analyzing the FCG experimental of standard compact tension (CT) specimens, a Wiener process is firstly established based on the failure mechanism to describe the stochastic FCG process, and then extended to the component-like and component level. The accuracy of the established model is verified by the experiments of bolt hole plate (BHP) specimens. Finally, the reliability analysis framework is constructed and verified for the turbine disc with multiple cracks based on the Copula function.

KW - Copula function

KW - Fatigue crack growth

KW - Stochastic modeling

KW - Turbine disc

KW - Wiener process

UR - https://www.scopus.com/pages/publications/85146053303

U2 - 10.1016/j.ijfatigue.2023.107504

DO - 10.1016/j.ijfatigue.2023.107504

M3 - 文章

AN - SCOPUS:85146053303

SN - 0142-1123

VL - 169

JO - International Journal of Fatigue

JF - International Journal of Fatigue

M1 - 107504

ER -

Stochastic modeling of fatigue crack growth for bolt holes in turbine disc

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