most citedStress, Strain, or Energy: Which One Is the Superior Parameter to Estimate Fatigue Life of Notched Components? An Answer by a Novel Machine Learning-Based Framework

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

physics.comp-ph2025

Towards In-Situ Failure Assessment: Deep Learning on DIC Results for Laminated Composites

Amir Mohammad Mirzaei

Predicting fracture load in laminated composites with stress raisers is challenging due to complex failure mechanisms such as delamination, fibre breakage, and matrix cracking, whi…

physics.comp-ph2025

Stress, Strain, or Displacement? A Novel Machine Learning Based Framework to Predict Mixed Mode I/II Fracture Toughness

Amir Mohammad Mirzaei

Accurate prediction of fracture toughness under complex loading conditions, like mixed mode I/II, is essential for reliable failure assessment. This paper aims to develop a machine…

physics.app-ph2023★ 2 cited

Stress, Strain, or Energy: Which One Is the Superior Parameter to Estimate Fatigue Life of Notched Components? An Answer by a Novel Machine Learning-Based Framework

Amir Mohammad Mirzaei

This paper introduces a simple framework for accurately predicting the fatigue lifetime of notched components by employing various machine learning algorithms applied to a wide ran…