Effect of microstructural heterogeneity on fatigue strength predicted by reinforcement machine learning
M Awd, S Münstermann… - Fatigue & Fracture of …, 2022 - Wiley Online Library
The posterior statistical distributions of fatigue strength are determined using Bayesian
inferential statistics and the Metropolis Monte Carlo method. This study explores how …
inferential statistics and the Metropolis Monte Carlo method. This study explores how …
Towards deterministic computation of internal stresses in additively manufactured materials under fatigue loading: Part I
The ongoing studies of the influence of internal defects on fatigue strength of additively
manufactured metals adopted an internal crack or notch-like model at which the threshold …
manufactured metals adopted an internal crack or notch-like model at which the threshold …
[图书][B] Machine learning algorithm for fatigue fields in additive manufacturing
MMM Awd - 2023 - Springer
This dissertation is the product of my work as a head of the Workgroup Modeling and
Simulation at the Chair of Materials Test Engineering (WPT) of TU Dortmund University. At …
Simulation at the Chair of Materials Test Engineering (WPT) of TU Dortmund University. At …
Numerical Investigation of the Influence of Fatigue Testing Frequency on the Fracture and Crack Propagation Rate of Additive-Manufactured AlSi10Mg and Ti-6Al-4V …
Advances in machine systems and scanning technologies have increased the use of
selective laser melted materials in industrial applications, resulting in almost full-density …
selective laser melted materials in industrial applications, resulting in almost full-density …
Quantum Mechanical-Based Fracture Behavior of L-PBF/SLM Ti-6Al-4V in the Very High Cycle Fatigue Regime
This work predicts bulk elastic properties and solves the wave function probabilistically
using the density functional theory and by fixing outcomes with instrumented indentation …
using the density functional theory and by fixing outcomes with instrumented indentation …