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Łukasz Pejkowski
Łukasz Pejkowski
Email verificata su utp.edu.pl
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Citata da
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Anno
Low-cycle multiaxial fatigue behaviour and fatigue life prediction for CuZn37 brass using the stress-strain models
D Skibicki, Ł Pejkowski
International Journal of Fatigue 102, 18-36, 2017
842017
High-cycle fatigue behavior of austenitic steel and pure copper under uniaxial, proportional and non-proportional loading
Ł Pejkowski, D Skibicki, J Sempruch
Journal of Mechanical Engineering 60 (9), 549-560, 2014
482014
Evaluation of the Fatemi‐Socie damage parameter for the fatigue life calculation with application of the Chaboche plasticity model
A Karolczuk, D Skibicki, Ł Pejkowski
Fatigue & Fracture of Engineering Materials & Structures 42 (1), 197-208, 2019
442019
Stress-strain response and fatigue life of four metallic materials under asynchronous loadings: Experimental observations
Ł Pejkowski, D Skibicki
International Journal of Fatigue 128, 105202, 2019
412019
The relationship between additional non-proportional hardening coefficient and fatigue life
D Skibicki, Ł Pejkowski
International Journal of Fatigue 123, 66-78, 2019
402019
Evaluation of plastic strain work and multiaxial fatigue life in CuZn37 alloy by means of thermography method and energy‐based approaches of Ellyin and Garud
D Skibicki, A Lipski, Ł Pejkowski
Fatigue & Fracture of Engineering Materials & Structures 41 (12), 2541-2556, 2018
272018
Application of machine learning methods in multiaxial fatigue life prediction
K Pałczyński, D Skibicki, Ł Pejkowski, T Andrysiak
Fatigue & Fracture of Engineering Materials & Structures 46 (2), 416-432, 2023
262023
Mechanical performance of non-reinforced, carbon fiber reinforced and glass bubbles reinforced 3D printed PA12 polyamide
Ł Pejkowski, J Seyda, K Nowicki, D Mrozik
Polymer Testing 118, 107891, 2023
262023
Integral fatigue criteria evaluation for life estimation under uniaxial combined proportional and non-proportional loadings
D Skibicki, Ł Pejkowski
Journal of Theoretical and Applied Mechanics 50 (4), 1073-1086, 2012
232012
Tensile and fatigue behavior of additive manufactured polylactide
A Andrzejewska, Ł Pejkowski, T Topoliński
3D Printing and additive manufacturing 6 (5), 272-280, 2019
222019
Fatigue of four metallic materials under asynchronous loadings: Small cracks observation and fatigue life prediction
Ł Pejkowski, J Seyda
International Journal of Fatigue 142, 105904, 2021
212021
On the material’s sensitivity to non-proportionality of fatigue loading
Ł Pejkowski
Archives of Civil and Mechanical Engineering 17, 711-727, 2017
212017
A brief note on monotonic and fatigue fracture events investigation of thin-walled tubular austenitic steel specimens via fracture surface topography analysis (FRASTA)
W Macek, D Sampath, Ł Pejkowski, K Żak
Engineering Failure Analysis 134, 106048, 2022
202022
Model of non‐proportional fatigue load in the form of block load spectrum: Modellierung einer nicht proportionalen mehrachsigen Wechselbeanspruchung in Form einer …
D Skibicki, J Sempruch, Ł Pejkowski
Materialwissenschaft und Werkstofftechnik 45 (2), 68-78, 2014
192014
Extrusion/intrusion structure as a fatigue indicator for uniaxial and multiaxial loading
Ł Pejkowski, M Karuskevich, T Maslak
Fatigue & Fracture of Engineering Materials & Structures 42 (10), 2315-2324, 2019
182019
Fatigue fracture surface metrology of thin-walled tubular austenitic steel specimens after asynchronous loadings
W Macek, Ł Pejkowski, R Branco, RM Nejad, K Żak
Engineering Failure Analysis 138, 106354, 2022
152022
A criterion for high-cycle fatigue life and fatigue limit prediction in biaxial loading conditions
Ł Pejkowski, D Skibicki
Acta Mechanica Sinica 32, 696-709, 2016
112016
Steel X2CrNiMo17-12-2 testing for uniaxial, proportional and non-proportional loads as delivered and in the annealed condition
D Skibicki, J Sempruch, Ł Pejkowski
Materials Science Forum 726, 171-180, 2012
102012
Heterogeneous effect of aging temperature on the fatigue life of additively manufactured thin-walled 18Ni300 maraging steel tubular specimen
A Karolczuk, A Kurek, M Böhm, S Derda, M Prażmowski, K Kluger, K Żak, ...
Materials & Design 237, 112561, 2024
92024
Gaussian process for machine learning-based fatigue life prediction model under multiaxial stress–strain conditions
A Karolczuk, D Skibicki, Ł Pejkowski
Materials 15 (21), 7797, 2022
92022
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