[HTML][HTML] Multiaxial fatigue of additively manufactured metallic components: A review of the failure mechanisms and fatigue life prediction methodologies

P Foti, N Razavi, A Fatemi, F Berto - Progress in Materials Science, 2023 - Elsevier
Additive manufacturing techniques offer significant advantages over conventional
manufacturing methods. These include the possibility of realizing highly customized …

Recent applications of big data analytics in railway transportation systems: A survey

F Ghofrani, Q He, RMP Goverde, X Liu - Transportation Research Part C …, 2018 - Elsevier
Big data analytics (BDA) has increasingly attracted a strong attention of analysts,
researchers and practitioners in railway transportation and engineering. This urges the …

A review of rolling contact fatigue

F Sadeghi, B Jalalahmadi, TS Slack, N Raje… - 2009 - asmedigitalcollection.asme.org
Ball and rolling element bearings are perhaps the most widely used components in
industrial machinery. They are used to support load and allow relative motion inherent in the …

[HTML][HTML] Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences

M Kraus, S Feuerriegel - Decision Support Systems, 2019 - Elsevier
Predicting the remaining useful life of machinery, infrastructure, or other equipment can
facilitate preemptive maintenance decisions, whereby a failure is prevented through timely …

Optimization of fatigue life of pearlitic Grade 900A steel based on the combination of genetic algorithm and artificial neural network

RM Nejad, N Sina, W Ma, Z Liu, F Berto… - International Journal of …, 2022 - Elsevier
In this paper, the fatigue life of pearlitic Grade 900A steel used in railway applications is
investigated. To predict the fatigue life of pearlitic Grade 900A steel based on the number of …

FEA-Net: A physics-guided data-driven model for efficient mechanical response prediction

H Yao, Y Gao, Y Liu - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
An innovative physics-guided learning algorithm for predicting the mechanical response of
materials and structures is proposed in this paper. The key concept of the proposed study is …

Rolling contact fatigue: a comprehensive review.

EE Magel - 2011 - rosap.ntl.bts.gov
" Rolling contact fatigue (RCF) is a pervasive and insidious problem on all types of railway
systems. Although it is a dominant cause of maintenance and replacements on heavy haul …

Deep learning paradigm for prediction of stress distribution in damaged structural components with stress concentrations

H Bolandi, X Li, T Salem, VN Boddeti… - Advances in Engineering …, 2022 - Elsevier
Scientists and engineers agree that solving complex problems requires integrating
traditional physics-based modeling techniques with state-of-the-art deep learning (DL) …

[HTML][HTML] Fatigue crack initiation in the presence of stratified surface layers on rail wheels

M Freisinger, B Jakab, K Pichelbauer… - International Journal of …, 2023 - Elsevier
This work presents a study on the fatigue crack initiation in the presence of stratified surface
layers (SSL)–a combination of white and brown etching layer–on rail wheels. Reproducible …

Fatigue performance of rib-to-deck joints in orthotropic steel decks with thickened edge U-ribs

J Heng, K Zheng, C Gou, Y Zhang… - Journal of Bridge …, 2017 - ascelibrary.org
This study evaluated the fatigue performance of rib-to-deck welded joints in orthotropic steel
decks (OSDs) with thickened edge U-ribs (TEUs). Fatigue performance of four rib-to-deck …