To increase the prediction accuracy of small-number sample life data, improved backward
statistical inference approach (ISIA) was formulated using the modified distribution …

Fatigue degradation of aging metallic bridges is a major concern for the safety of the railway
network, particularly regarding riveted details. The codes in force propose mainly global …

Cumulative fatigue damage analysis and life prediction of engineering
structures/components is vital for ensuring their structural integrity and operational reliability …

This research work aims to explore the integration of data-driven symbolic regression (SR)
and domain knowledge to model the remaining fatigue life under multistep loading. To this …

Remaining fatigue life estimations are not trivial problems for most engineering applications.
They could even become quite challenging for general multistep load spectrums, particularly …

Remaining fatigue life estimations are crucial for guaranteeing the operation reliability and
structural integrity of engineering components. In this respect, physical process-based …

A probabilistic fatigue cumulative damage model that can be applied to the fatigue life
prediction of aluminum alloy under spectrum loading is proposed in this paper. The model is …

The cumulative fatigue damage degree is a core parameter used to evaluate the service life
of an IGBT module and accurately calculate the cumulative fatigue damage degree. This …

The key components in service, such as aero‐engine turbine blades, are generally bearing
complex interactions of high and low cycle fatigue loading. It is essential to make accurate …

We predict the fatigue life of a P355NL1 steel alloy under variable amplitude loading
conditions using a newly-developed small-strain-based implicit plasticity model. The core …