Neural network (NN) models have significantly impacted fatigue‐related engineering
communities and are expected to increase rapidly due to the recent advancements in …

In this article, a machine learning approach is utilized to predict lifetime under multiaxial
fatigue loading. A novel hybrid physics-informed neural network is proposed, where a …

Abstract In aerospace industry, Fatigue Crack Propagation pose a serious threat to the
professionals involved in designing mechanical assembly of the aircraft structures. In these …

The neural network-based prediction method has shown great potential in the field of fatigue
crack growth prediction due to its powerful nonlinear processing and generalization …

Fatigue cracks are a major defect in metal alloys, and specifically, their study poses defect
evaluation challenges in aluminum aircraft alloys. Existing inline inspection tools exhibit …

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have
retracted the following article, which is part of the Special Issue titled “Federated Learning for …

In this paper, a prediction method based on LSTM model is proposed for the online
prediction problem of fatigue life and crack length in crack propagation and fracture stage …