An investigation of the prediction accuracy for volume based HCF models using scaled geometries and scaled loading

被引:10
|
作者
Sandberg, Daniel [1 ]
Olsson, Marten [1 ]
机构
[1] Royal Inst Technol KTH, Dept Solid Mech, SE-10044 Stockholm, Sweden
关键词
HCF; Size effect; Scaled geometries; Weakest-link; Failure probability; CYCLE MULTIAXIAL FATIGUE; WEAKEST-LINK CONCEPT; STRESS; LIMIT; GRADIENT; FAILURE; CRITERIA;
D O I
10.1016/j.ijfatigue.2015.04.024
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The prediction accuracy for the volume based Weibull- and V* high cycle fatigue models is investigated and compared to the point method. A high number of fatigue tests are performed in rotating bending for single notched cylindrical specimens manufactured in a 12% Cr-steel, a high quality structural steel. The specimens are designed with different highly stressed volume and stress gradient by scaling the geometry, but with the same stresses at the corresponding scaled points. Thus, the maximum stress in the notch is the same. Experiments are performed for three specimen sizes at several stress levels. The volume based Weibull- and V*-models, as well as the point stress method are fitted to the experimental results. Based on the results, the V*-model is favored for design purposes. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:317 / 324
页数:8
相关论文
共 50 条
  • [31] An investigation of bimodal jet trajectory in flow through scaled models of the human vocal tract
    Byron D. Erath
    Michael W. Plesniak
    Experiments in Fluids, 2006, 40
  • [32] Stress analysis of 3D complex geometries using the scaled boundary polyhedral finite elements
    Hossein Talebi
    Albert Saputra
    Chongmin Song
    Computational Mechanics, 2016, 58 : 697 - 715
  • [33] Full-Scaled Impulse Turbine Performance Prediction using Numerical Simulation
    Sahed, A.
    Alnaimi, F. B. Ismail
    PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2014, 22 (01): : 289 - 305
  • [34] Stress analysis of 3D complex geometries using the scaled boundary polyhedral finite elements
    Talebi, Hossein
    Saputra, Albert
    Song, Chongmin
    COMPUTATIONAL MECHANICS, 2016, 58 (04) : 697 - 715
  • [35] Scaled Conjugate Gradient Backpropagation based SLA Violation Prediction in Cloud Computing
    Upadhyay, Prabhat Kumar
    Pandita, Archana
    Joshi, Nisheeth
    PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND KNOWLEDGE ECONOMY (ICCIKE' 2019), 2019, : 203 - 208
  • [36] Modified method for impact response prediction of scaled model based on loss function
    Wang Y.
    He H.
    Wu T.
    Xi X.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2022, 43 (08):
  • [37] Enhanced AI Based Diabetic Risk Prediction Using Feature Scaled Ensemble Learning Technique Based on Cloud Computing
    K. Manivannan
    K. Ramkumar
    Revatthy Krishnamurthy
    SN Computer Science, 5 (8)
  • [38] Using Scaled Models for Wind Turbine EM Scattering Characterization: Techniques and Experiments
    Zhang, Yan
    Huston, Andrew
    Palmer, Robert D.
    Albertson, Roy
    Kong, Fanxing
    Wang, Shang
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2011, 60 (04) : 1298 - 1306
  • [39] A method to represent impacted structures using scaled models made of different materials
    Mazzariol, L. M.
    Oshiro, R. E.
    Alves, M.
    INTERNATIONAL JOURNAL OF IMPACT ENGINEERING, 2016, 90 : 81 - 94