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 | 84 | 2017 |
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 | 48 | 2014 |
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 | 44 | 2019 |
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 | 41 | 2019 |
The relationship between additional non-proportional hardening coefficient and fatigue life D Skibicki, Ł Pejkowski International Journal of Fatigue 123, 66-78, 2019 | 40 | 2019 |
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 | 27 | 2018 |
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 | 26 | 2023 |
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 | 26 | 2023 |
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 | 23 | 2012 |
Tensile and fatigue behavior of additive manufactured polylactide A Andrzejewska, Ł Pejkowski, T Topoliński 3D Printing and additive manufacturing 6 (5), 272-280, 2019 | 22 | 2019 |
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 | 21 | 2021 |
On the material’s sensitivity to non-proportionality of fatigue loading Ł Pejkowski Archives of Civil and Mechanical Engineering 17, 711-727, 2017 | 21 | 2017 |
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 | 20 | 2022 |
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 | 19 | 2014 |
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 | 18 | 2019 |
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 | 15 | 2022 |
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 | 11 | 2016 |
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 | 10 | 2012 |
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 | 9 | 2024 |
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 | 9 | 2022 |