Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods

H Wang, B Li, J Gong, FZ Xuan - Engineering Fracture Mechanics, 2023 - Elsevier
Fatigue life prediction is critical for ensuring the safe service and the structural integrity of
mechanical structures. Although data-driven approaches have been proven effective in …

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

XQ Li, LK Song, GC Bai, DG Li - International Journal of Fatigue, 2023 - Elsevier
Reliability evaluation of aeroengine rotor systems is often characterized by multiple
correlated frail sites and multiple coupled failure modes, leading to the traditional integral …

A State‐of‐Art Review on Prediction Model for Fatigue Performance of Welded Joints via Data‐Driven Method

C Feng, L Xu, L Zhao, Y Han… - Advanced Engineering …, 2023 - Wiley Online Library
Fatigue fracture of welded joints is an important cause for engineering accidents. Due to the
coexistence of so many influencing factors, the current prediction model of fatigue behavior …

Surrogate-modeling-assisted creep-fatigue reliability assessment in a low-pressure turbine disc considering multi-source uncertainty

RZ Wang, HH Gu, Y Liu, H Miura, XC Zhang… - Reliability Engineering & …, 2023 - Elsevier
This paper proposes a surrogate modeling approach based on XGboost machine learning
technique, in order to establish a data-driven mapping relationship between input and …

A novel generalization ability-enhanced approach for corrosion fatigue life prediction of marine welded structures

C Feng, M Su, L Xu, L Zhao, Y Han, C Peng - International Journal of …, 2023 - Elsevier
A generalization ability-enhanced approach for corrosion fatigue life prediction was
proposed. The data augmentation and analysis of influence factors were conducted via …

Experimental and constitutive modelling studies of type 316L stainless steel based on internal stress under low cycle fatigue and creep-fatigue interaction

F Liang, W Zhang, F Chen, P Yin, Q Yang… - International Journal of …, 2023 - Elsevier
Low cycle fatigue (LCF) and creep-fatigue interaction (CFI) behaviour of 316L stainless steel
at 550° C were investigated using experimental and modelling approaches. Results …

Creep-fatigue reliability assessment for high-temperature components fusing on-line monitoring data and physics-of-failure by engineering damage mechanics …

HH Gu, RZ Wang, MJ Tang, XC Zhang, ST Tu - International Journal of …, 2023 - Elsevier
A new framework for creep-fatigue reliability assessment of high-temperature components is
proposed in this paper, during which the monitoring data and physics-of-failure are …

Fatigue reliability analysis of aeroengine blade-disc systems using physics-informed ensemble learning

XQ Li, LK Song, YS Choy… - … Transactions of the …, 2023 - royalsocietypublishing.org
For the fatigue reliability analysis of aeroengine blade-disc systems, the traditional direct
integral modelling methods or separate independent modelling methods will lead to low …

Physics-based probabilistic assessment of creep-fatigue failure for pressurized components

X Wang, J Yang, H Chen, F Xuan - International Journal of Mechanical …, 2023 - Elsevier
To achieve a high-reliability design of high-temperature structures with a feasible balance
between accuracy and efficiency, the physics-based probabilistic assessment for creep …

Reliability analysis of bending fatigue life of hydraulic pipeline

X Shen, K Feng, H Xu, G Wang, Y Zhang, Y Dai… - Reliability Engineering & …, 2023 - Elsevier
Fatigue failure caused by high pressure of fluid and external vibration seriously affects the
performance and reliability of hydraulic pipelines. Probabilistic fatigue life assessment can …