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Ing. Jiří Halamka
jiri.halamka (at) fs.cvut.cz
(22 435) 2519
room: B1-622, Dejvice
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Journal papers
2025
- Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading – Bartošák, M. - Halamka, J. - Beránek, L. - Koukolíková, M. - Slaný, M. - Pagáč, M., - Džugan, J., International Journal of Fatigue. 2025, 190 ISSN 0142-1123.
2023
- Using hybrid physics-informed neural networks to predict lifetime under multiaxial fatigue loading – Halamka, J. - Bartošák, M., - Španiel, M., Engineering Fracture Mechanics. 2023, 289 ISSN 0013-7944.
Proceeding papers
2022
- Fatigue life prediction in plane stress case using recurrent neural networks – Halamka, J. - Bartošák, M., In: 30th Workshop of Applied Mechanics. Praha: Czech Technical University in Prague, 2022. p. 17. 1. ISBN 978-80-01-07078-9.
- Fatigue life prediction using recurrent neural networks and critical plane approach – Halamka, J. - Bartošák, M., In: 60th annual international conference on Experimental Stress Analysis - Book of Extended Abstracts. Praha: CTU FME. Department of Mechanics, Biomechanics and Mechatronics, 2022. p. 36-37. ISBN 978-80-01-07010-9.
Qualification report
1996
- Numerická implementace a integrace konstitutivních vztahů cyklické plasticity – Halamka, J., Defense date 2021-09-02. Master Thesis. CTU FME. Division of strength and elasticity., 1996
Other unsorted
2024
- Use of machine learning in determining the parameters of viscoplastic models – Halamka, J. - Bartošák, M., Engineering Computations. 2024, ISSN 0264-4401.