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Yuanying Qiu

As seen in: Wiley Online Library, MDPI
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Articles

Research on Bolt Loosening Mechanism Under Sine-on-Random Coupling Vibration Excitation

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By Yuanying Qiu, Jing Li, Jiangong Du
| MDPI
1. Introduction The threaded connection structure has advantages of easy installation, conciseness, small size, etc., which make it one of the most widely used and important connection methods in practical engineering [1,2]. In many megaprojects such as aerospace, railways, bridges, etc., bolt connection failure is an important factor leading to structural safety hazards and accidents.
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Two Fatigue Life Prediction Models Based on the Critical Plane Theory and Artificial Neural Networks

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By Yantian Wang, Yuanying Qiu, Jing Li, Jin Bai
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Novel models for fatigue life prediction under wideband random loads based on machine learning

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By Hong Sun, Yuanying Qiu, Jing Li, Jin Bai
| Wiley Online Library Verified
Supporting Information Filename Description ffe14371-sup-0001-ANN model.zipapplication/x-zip-compressed, 2.2 KB Data S1. Supporting information. REFERENCES 1. Fatigue of offshore structures: a review of statistical fatigue damage assessment for stochastic loadings. Int J Fatigue. 2020; 132:105327. 2, . On the probability density function of rainflow stress range for stationary Gaussian processes. Int J Fatigue. 1992; 14(2): 121-135. 3, , . Fatigue Testing and Analysis: Theory and Practice.
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