Comparison of the logistic S-N model with the Stussi model for S-N curves description and its advantages over some other models

被引:1
|
作者
Kohout, Jan [1 ]
机构
[1] Univ Def, Mil Technol Fac, Dept Math & Phys, Kounicova 65, Brno 66210, Czech Republic
关键词
S-N curves; Logistic function; Logistic S-N model; Stussi model; Palmgren model; Kohout-Vechet model;
D O I
10.1007/s40430-022-03854-8
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The regression function corresponding to the logistic S-N model is derived and presented in the form when all regression parameters directly describe the geometrical shape of S-N curve. The comparison with the Stussi model shows that both models lead to the same regression curve. A deeper mathematical analysis shows that both models are based on the logistic function and replacing x with logN. Unfortunately, usual equality between UTS (ultimate tensile strength) and the fatigue stress for one (or a half of the first) cycle to fracture is not fulfilled for the Stussi model, and its other parameters have no simple geometrical meaning. Compared with the Palmgren model and the Kohout-Vechet model, the logistic S-N model seems to be the most successful and most universally applicable. The strongest point of the logistic model is the ability to successfully describe the empirical S-N curves with extreme steepness, where most other models fail.
引用
收藏
页数:7
相关论文
共 29 条
  • [1] Comparison of the logistic S-N model with the Stüssi model for S-N curves description and its advantages over some other models
    Jan Kohout
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2022, 44
  • [2] Shift of S-N curves in some fatigue models due to loading cycle asymmetry
    Kohout, Jan
    Vechet, Stanislav
    HELIYON, 2024, 10 (04)
  • [3] Probabilistic modeling of S-N curves
    Fouchereau, Remy
    Celeux, Gilles
    Pamphile, Patrick
    INTERNATIONAL JOURNAL OF FATIGUE, 2014, 68 : 217 - 223
  • [4] On the estimation of characteristic S-N curves with confidence
    Ronold, Knut O.
    Lotsberg, Inge
    MARINE STRUCTURES, 2012, 27 (01) : 29 - 44
  • [5] Probabilistic S-N curves for CFRP retrofitted steel details
    Mohabeddine, Anis
    Correia, Jose
    Montenegro, Pedro Aires
    De Jesus, Abilio
    Castro, Jose Miguel
    Berto, Filippo
    INTERNATIONAL JOURNAL OF FATIGUE, 2021, 148
  • [6] A neural network approach to describing the scatter of S-N curves
    Bucar, T
    Nagode, M
    Fajdiga, M
    INTERNATIONAL JOURNAL OF FATIGUE, 2006, 28 (04) : 311 - 323
  • [7] Determination of S-N curves with the application of artificial neural networks
    Artymiak, P
    Bukowski, L
    Feliks, J
    Narberhaus, S
    Zenner, H
    FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 1999, 22 (08) : 723 - 732
  • [8] Probabilistic modeling of unified S-N curves for mechanical parts
    Wang, Minlong
    Liu, Xintian
    Wang, Xiaolan
    Wang, Yansong
    INTERNATIONAL JOURNAL OF DAMAGE MECHANICS, 2018, 27 (07) : 979 - 999
  • [9] An improved neural computing method for describing the scatter of S-N curves
    Buar, T.
    Nagode, M.
    Fajdiga, M.
    INTERNATIONAL JOURNAL OF FATIGUE, 2007, 29 (12) : 2125 - 2137
  • [10] A fuzzy approach for drawing S-N curves in the finite life region
    Zonfrillo, G.
    Rossi, A.
    FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2011, 34 (11) : 868 - 876