Physics-informed distributed modeling for CCF reliability evaluation of aeroengine rotor systems-Reference-Cited by-同舟云学术

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Physics-informed distributed modeling for CCF reliability evaluation of aeroengine rotor systems

Published:2023-02 Issue: Volume:167 Page:107342
ISSN:0142-1123
Container-title:International Journal of Fatigue
language:en
Short-container-title:International Journal of Fatigue

Author:

Li Xue-Qin,Song Lu-Kai,Bai Guang-Chen,Li Dao-Guang

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science,Modeling and Simulation

Reference70 articles.

1. Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks;Niu;Int J Fatigue,2021

2. Reliability Analysis of Aero-Engine Compressor Rotor System Considering Cruise Characteristics;Zhao;IEEE Trans Reliab,2020

3. Probabilistic physics of failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty;Zhu;Reliab Eng Syst Saf,2016

4. A combined high and low cycle fatigue model for life prediction of turbine blades;Zhu;Materials,2017

5. Deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation for turbine bladed disks;Li;Int J Fatigue,2022

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