Jan Horňas

Modelling fatigue life prediction of additively manufactured Ti-6Al-4V samples using machine learning approach

Jan Horňas, Jiří Běhal, Petr Homola et al. · International Journal of Fatigue · 2022 · 102 citations · Full text

Computing, Materials Engineering, Materials Science +14

A machine learning based approach with an augmented dataset for fatigue life prediction of additively manufactured Ti-6Al-4V samples

Jan Horňas, Jiří Běhal, Petr Homola et al. · Engineering Fracture Mechanics · 2023 · 36 citations · Full text

Engineering, Manufacturing Engineering, Materials Engineering +13

Linearization of Composite Material Damage Model Results and Its Impact on the Subsequent Stress–Strain Analysis

Jarmil Vlach, Radek Doubrava, Roman Růžek et al. · Polymers · 2022 · 10 citations · Full text

Engineering, Materials Engineering, Mechanical Engineering +15

Strain-Field Modifications in the Surroundings of Impact Damage of Carbon/Epoxy Laminate

Jarmil Vlach, Radek Doubrava, Roman Růžek et al. · Polymers · 2022 · 10 citations · Full text

Engineering, Materials Engineering, Materials Science +17

Multivariate interpolation and machine learning models for extreme defects-based fatigue life prediction of Ti6Al4V specimens fabricated by SLM

Jan Horňas, Aleš Materna, Jonathan Glinz et al. · Engineering Fracture Mechanics · 2024 · 10 citations

Natural Sciences, Materials Engineering, Materials Science +17