Multidisciplinary design optimization of engineering systems under uncertainty: a review

D Meng, S Yang, C He, H Wang, Z Lv… - International Journal of …, 2022 - emerald.com
Purpose As an advanced calculation methodology, reliability-based multidisciplinary design
optimization (RBMDO) has been widely acknowledged for the design problems of modern …

Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects

D Liao, SP Zhu, JAFO Correia, AMP De Jesus… - Renewable Energy, 2022 - Elsevier
Wind, as a sustainable and affordable energy source, represents a strong alternative to
traditional energy sources. However, wind power is only one of the options, together with …

Defect tolerant fatigue assessment of AM materials: Size effect and probabilistic prospects

X Niu, SP Zhu, JC He, D Liao, JAFO Correia… - International Journal of …, 2022 - Elsevier
Despite the significant advantages such as rapid prototy** of complex structures,
engineering application of Additive Manufacturing (AM) technique has been limited due to …

Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis

C Luo, B Keshtegar, SP Zhu, O Taylan… - Computer Methods in …, 2022 - Elsevier
The accurate estimations of the failure probability with low-computational burden play a vital
role in structural reliability analyses. Due to high-calculation cost and time-consuming Monte …

Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks

XP Niu, RZ Wang, D Liao, SP Zhu, XC Zhang… - International Journal of …, 2021 - Elsevier
Turbine bladed disks normally operate under complex loadings coupling with uncertainties
originate from multiple sources, including material variability, load variation and geometrical …

Size effect in fatigue modelling of defective materials: Application of the calibrated weakest-link theory

JC He, SP Zhu, C Luo, X Niu, Q Wang - International Journal of Fatigue, 2022 - Elsevier
Fatigue life prediction is critical for the design of engineering components made from
defective materials. Not only do these imperfections show a detrimental effect on the fatigue …

Probabilistic fatigue modelling of metallic materials under notch and size effect using the weakest link theory

XK Li, SP Zhu, D Liao, JAFO Correia, F Berto… - International Journal of …, 2022 - Elsevier
Notch fatigue analysis is vital for structural integrity design, while efficient fatigue models
coupling notch and size effect are still lacking, which are highly desired for fatigue design of …

Stress gradient effect in metal fatigue: Review and solutions

SP Zhu, WL Ye, JAFO Correia, AMP Jesus… - Theoretical and Applied …, 2022 - Elsevier
Under external loadings, notched components always show varying degrees of stress
concentration. Accordingly, different kinds of approaches have been presented to …

[HTML][HTML] Unveiling of grain structure, porosity, phase distributions, microstructural morphology, surface hardness, and tribo-corrosion characteristics of nickel, and …

S Sharma, SP Dwivedi, C Li, FA Awwad… - Journal of Materials …, 2024 - Elsevier
The microstructure, homogeneity, and tribo-corrosion behavior of microwave-developed
Nickel as well as titanium dioxide SS-304 cladding surfaces are the primary emphasis of this …

LSTM-based multi-layer self-attention method for remaining useful life estimation of mechanical systems

J **a, Y Feng, C Lu, C Fei, X Xue - Engineering Failure Analysis, 2021 - Elsevier
Accurate remaining useful life (RUL) estimation is significant in reducing maintenance costs
and avoiding catastrophic failures of mechanical systems like an aeroengine. To effectively …