An approach for fatigue damage estimation under broadband non-Gaussian random loadings based on the Johnson transformation model-Reference-Cited by-同舟云学术

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An approach for fatigue damage estimation under broadband non-Gaussian random loadings based on the Johnson transformation model

Published:2024-07 Issue: Volume:148 Page:104039
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Cui Shengchao,Li Jinhua,Chen Shuisheng,Wang Chengyuan,Cheng Longkai,Yu Jinhao

Funder

Jiangxi Provincial Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference79 articles.

1. Analogies between spectral methods and multiaxial criteria in fatigue damage evaluation;Benasciutti;Probab. Eng. Mech.,2013

2. Benasciutti D., Tovo R., 2004. Rainflow cycle distribution and fatigue damage in Gaussian random loadings. Report of engineering department. University of Ferrara (Italy).

3. Spectral methods for lifetime prediction under wide-band stationary random processes;Benasciutti;Int. J. Fatigue,2005

4. Cycle distribution and fatigue damage assessment in broad-band non-Gaussian random processes;Benasciutti;Probab. Eng. Mech.,2005

5. Fatigue life assessment in non-Gaussian random loadings;Benasciutti;Int. J. Fatigue,2006

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