Fatigue performance in both traditional and additively manufactured materials is severely
affected by the presence of defects, which deserve special attention to ensure the in-service …

The synergistic combination of mechanical fatigue stresses and environmental agents acting
together can be more detrimental than that of the summation of the contributions of each …

Ability to predict the fatigue resistance of parts produced by additive manufacturing (AM) is a
very current and frequently relevant open issue. The qualification of AM structural parts often …

This paper proposes a Bayesian gaussian process-based corrosion fatigue damage
assessment framework for bridge suspender wires. Prior statistical parameters in the fatigue …

Abstract Machine learning has drawn growing attention from the areas of fatigue, fracture,
and structural integrity. However, most current studies are fully data-driven and may …

The coupled effect of corrosion and fatigue deteriorates the performance of reinforced
concrete (RC) structures. This paper proposes a novel framework for the probabilistic life …

This paper proposes an intelligent digital twin framework for corrosion fatigue life prediction
and calibration of suspender wires integrated with mechanism-driven, sensor-driven, and …

This paper proposes a surrogate modeling approach based on XGboost machine learning
technique, in order to establish a data-driven map** relationship between input and …

The influence of material variability upon the multiaxial LCF assessment of engineering
components is missing for a comprehensive description. In this paper, a probabilistic …

This paper presents a methodology for uncertainty quantification and model validation in
fatigue crack growth analysis. Several models–finite element model, crack growth model …