Issue34

Z. Marciniak et alii, Frattura ed Integrità Strutturale, 34 (2015) 1-10; DOI: 10.3221/IGF-ESIS.34.01 9 Figure 6 : Comparison of experimental results for different bending to torsion ratios with those calculated according to the Eq. (18) for AlCuMg1 alloy. S UMMARY his brief description of professor Macha activity irrefutably proves his wide interests and great influence on progress regarding the issues of fatigue life assessment for components of machines and structures. During his academic career, Macha with colleagues proposed many fatigue criteria concerning the parameters of stress, strain and strain energy density both in the field of time and frequency. Macha’s interests covered initiation range and propagation of fatigue cracks. Many times these criteria were verified in various load conditions for different materials, and were presented during various scientific conferences. R EFERENCES [1] Macha, E., Mathematical models of the life to fracture for materials subject to random complex stress systems, Monographs no 13, Wrocław University of Technology, Wrocław, (1979) (in Polish). [2] Macha, E., Generalization of fatigue fracture criteria for multiaxial sinusoidal loadings in the range of random loadings. Biaxial and Multiaxial Fatigue, EGF 3, Eds M.W. Brown and K.J. Miller, Mechanical Engineering Publications, London, (1989) 425-436. [3] Macha, E., Generalization of strain criteria of multiaxial cyclic fatigue to random loadings, Studies and Monographs, no. 23, Opole University of Technology, Opole, (1988) (in Polish). [4] Macha, E., Simulations investigations of the position of fatigue plane in materials with biaxial loads, Mat.-wiss. U. Werkstofftech., 20 (1989) 132-136. [5] Carpinteri, A., Macha, E., Brighenti, R., Spagnoli, A., Expected principal stress directions for multiaxial random loading - Part I, Theoretical aspects of the weight function method, Int. J. Fatigue, 21 (1999) 83-88. [6] Carpinteri, A, Macha, E, Brighenti, R, Spagnoli, A., Expected principal stress directions under multiaxial random loading. Part II: numerical simulation and experimentally assessment through the weight function method. Int. J. of Fatigue, 21 (1999) 89-96. T