Evaluation and prediction of material fatigue characteristics under impact loads: review and prospects
X Liu, Q Wu, S Su, Y Wang - International Journal of Structural …, 2022 - emerald.com
Purpose The properties of materials under impact load are introduced in terms of metal,
nonmetallic materials and composite materials. And the application of impact load research …
nonmetallic materials and composite materials. And the application of impact load research …
A novel gear fatigue monitoring indicator and its application to remaining useful life prediction for spur gear in intelligent manufacturing systems
With the material degradation of gear over its service lifespan, the gearbox is prone to
fatigue, especially under harsh working environments. The interaction between gear fatigue …
fatigue, especially under harsh working environments. The interaction between gear fatigue …
Machine learning-based probabilistic fatigue assessment of turbine bladed disks under multisource uncertainties
Purpose The multisource uncertainties, including material dispersion, load fluctuation and
geometrical tolerance, have crucial effects on fatigue performance of turbine bladed disks. In …
geometrical tolerance, have crucial effects on fatigue performance of turbine bladed disks. In …
Prediction method of non-stationary random vibration fatigue reliability of turbine runner blade based on transfer learning
F Liu, Z Li, M Liang, B Zhao, J Ding - Reliability Engineering & System …, 2023 - Elsevier
In order to solve the problems such as lack of fault information, sample variation with time
and expensive calculation in the estimation of the vibration fatigue reliability of the turbine …
and expensive calculation in the estimation of the vibration fatigue reliability of the turbine …
Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification
W Yao, X Zheng, J Zhang, N Wang, G Tang - Reliability Engineering & …, 2023 - Elsevier
All kinds of uncertainties influence the reliability of the engineering system. Thus, uncertainty
quantification is significant to the system reliability analysis. Polynomial chaos expansion …
quantification is significant to the system reliability analysis. Polynomial chaos expansion …
Corrosion fatigue life prediction of crude oil storage tank via improved equivalent initial flaw size
Corrosion fatigue is identified as the main failure mechanism for structures working in severe
corrosive medium subjected to cyclic rotating bending fatigue, for example crude oil storage …
corrosive medium subjected to cyclic rotating bending fatigue, for example crude oil storage …
Uncertainty-aware fatigue-life prediction of additively manufactured Hastelloy X superalloy using a physics-informed probabilistic neural network
H Wang, B Li, L Lei, F Xuan - Reliability Engineering & System Safety, 2024 - Elsevier
Microstructural inhomogeneity in additively manufactured (AM) components leads to
uncertainty in their fatigue performance. While purely data-driven methods can only provide …
uncertainty in their fatigue performance. While purely data-driven methods can only provide …
Fatigue life prediction of composite suspension considering residual stress and crack propagation
S Wang, X Liu, B Huang, H Liao - Proceedings of the …, 2023 - journals.sagepub.com
Composite materials are widely used in the automobile industry, compared with traditional
mechanical connection, in terms of efficiency and manufacture cost structure, adhesively …
mechanical connection, in terms of efficiency and manufacture cost structure, adhesively …
Reliability model based on fault energy dissipation for mechatronic system
Y Qiao, S Wang, J Shi, D Liu, M Tao - Reliability Engineering & System …, 2024 - Elsevier
The failures of mechatronic systems, such as wear, fatigue, and aging, result in energy
dissipation. This paper develops a reliability model from the perspective of fault energy …
dissipation. This paper develops a reliability model from the perspective of fault energy …
System reliability of a gravity dam-foundation system using Bayesian networks
L Pei, C Chen, K He, X Lu - Reliability Engineering & System Safety, 2022 - Elsevier
Traditionally, the reliability of a gravity dam-foundation system is evaluated using several
typical dam sections. However, the performance of different dam sections may vary greatly …
typical dam sections. However, the performance of different dam sections may vary greatly …