METHOD FOR DETERMINING THE S-N CURVE FOR A LOW PROBABILITY OF FAILURE

被引:0
|
作者
Strzelecki, Przemyslaw [1 ]
Skibicki, Dariusz [1 ]
Pejkowski, Lukasz [1 ]
机构
[1] Bydgoszcz Univ Sci & Technol, Fac Mech Engn, Bydgoszcz, Poland
关键词
S-N curve; high-cycle fatigue; probability of failure; normal distribution; scatter of fatigue tests; FATIGUE LIFE;
D O I
10.15632/jtam-pl/193746
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
This paper presents a new method for determining the S-N curve for a low probability of failure, e.g., 5%. To apply this method, only eight fatigue tests are needed, which is fewer than standard methods require. This could be achieved because the standard deviation, which is necessary for estimating the normal distribution of fatigue life, was derived from the distribution of logarithm of the yield strength. The tensile tests necessary to get the yield strength are relatively simple and cost-effective. Verification of the method was performed for fatigue tests on S355J2+C structural steel, 1.4301 and 1.4404 stainless steels, medium carbon steel C45 and AW 6063 & AW 2017A aluminium alloys. The results showed that the proposed method gave fatigue strength for 5% failure probability with a more reliable fatigue life than the S-N curve estimated according to ASTM E-739-10, 2015. Considering that the proposed method is conservative and low-cost, it can be used in engineering practice.
引用
收藏
页码:683 / 694
页数:12
相关论文
共 50 条
  • [1] EXPERIMENTAL VERIFICATION OF ANALYTICAL METHOD FOR DETERMINING THE S-N CURVE FOR ALLOY STEEL
    Strzelecki, Przemyslaw
    Sempruch, Janusz
    FRACTURE AND FATIGUE OF MATERIALS AND STRUCTURES, 2014, 598 : 219 - 224
  • [2] A Linear S-N Curve with Load Dependent Variance and Explicit Failure Probability
    Dabiru, Venkata Rambabu
    Chatterjee, Anindya
    JOURNAL OF TESTING AND EVALUATION, 2012, 40 (04) : 557 - 564
  • [3] A METHOD FOR DETERMINING A COMPLETE S-N CURVE USING MAXIMUM LIKELIHOOD
    Strzelecki, P.
    Tomaszewski, T.
    Sempruch, J.
    ENGINEERING MECHANICS 2016, 2016, : 530 - 533
  • [4] A general method for determining probabilistic S-N curve based on static strength data of material
    Gao, Jianxiong
    Xu, Rongxia
    Wu, Zhifeng
    Zhu, Pengnian
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2022, 236 (09) : 4862 - 4875
  • [5] α-S-N curve: A novel S-N curve modeling method under small-sample test data using uncertainty theory
    Zu, Tianpei
    Kang, Rui
    Wen, Meilin
    Chen, Yunxia
    INTERNATIONAL JOURNAL OF FATIGUE, 2020, 139
  • [6] ACCURACY OF DETERMINED S-N CURVE BY SELECTED MODELS
    Strzelecki, Przemyslaw
    JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 2019, 57 (04) : 859 - 868
  • [7] A Refined S-N Curve Model
    Burhan, Ibrahim
    Kim, Ho Sung
    Thomas, Sabu
    2016 INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY, ENVIRONMENT AND INFORMATION ENGINEERING (SEEIE 2016), 2016, : 412 - 416
  • [8] Experimental Verification of the Analytical Method for Estimated S-N Curve in Limited Fatigue Life
    Strzelecki, Przemyslaw
    Sempruch, Janusz
    FATIGUE FAILURE AND FRACTURE MECHANICS, 2012, 726 : 11 - 16
  • [9] Rapid Determination of the S-N Curve for Steel by means of the Thermographic Method
    Lipski, Adam
    ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2016, 2016
  • [10] Estimating the S-N Curve by Machine Learning Random Forest Method
    Nagashima N.
    Hayakawa M.
    Masuda H.
    Nagai K.
    Zairyo/Journal of the Society of Materials Science, Japan, 2021, 70 (12): : 876 - 880