Adaptive Neural Network Modelling in Fatigue life Prediction under Load History effects

被引：5
|
作者：
AbdulRazzaq, M. [1 ]
Ariffin, A. K. [1 ]
EI-Shafie, Ahmed [1 ]
Abdullah, S. [1 ]
Sajuri, Z. [1 ]
Akeel, N. A. [1 ]
机构：
[1] Univ Kebangsaan Malaysia, Dept Mech & Mat Engn, Bangi 43600, Selangor, Malaysia
来源：
MATERIALS AND DESIGN, PTS 1-3 | 2011年 / 284-286卷
关键词：
Feed forward (ANN); Fatigue; Load sequence; Variable amplitude loading; CRACK GROWTH;
D O I：
10.4028/www.scientific.net/AMR.284-286.1266
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
Artificial intelligence (AI) techniques and in particular, adaptive neural networks (ANN) have been commonly used in order to Fatigue life prediction. The aim of this paper is to consider a new crack propagation principle based on simulating experimental tests on three point-bend (TPB) specimens, which allow predicting the fatigue life and fatigue crack growth rate (FCGR). An important part of this paper is estimation of FCG rate related to different load histories. The effects of different load histories on the crack growth life are obtained in different representative simulation and experiments.
引用
收藏
页码：1266 / 1270
页数：5
相关论文
共 50 条
  • [1] A neural network approach to fatigue life prediction
    Figueira Pujol, Joao Carlos
    Andrade Pinto, Joao Mario
    INTERNATIONAL JOURNAL OF FATIGUE, 2011, 33 (03) : 313 - 322
  • [2] A physics-guided modelling method of artificial neural network for multiaxial fatigue life prediction under irregular loading
    Zhou, Tianguo
    Sun, Xingyue
    Chen, Xu
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2023, 381 (2260):
  • [3] A probabilistic fatigue life prediction method under random combined high and low cycle fatigue load history
    Bai, Song
    Huang, Tudi
    Li, Yan-Feng
    Lu, Ning
    Huang, Hong-Zhong
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 238
  • [4] Application of artificial neural network for fatigue life prediction
    Azid, IA
    Oon, LK
    Eu, OK
    Seetharamu, KN
    Quadir, GA
    ADVANCES IN FRACTURE AND STRENGTH, PTS 1- 4, 2005, 297-300 : 96 - 101
  • [5] CREEP FATIGUE BEHAVIOR AND LIFE PREDICTION INCLUDING THE LOAD HISTORY EFFECT UNDER HIGH TEMPERATURE
    Dong, Jie
    Chen, Xuedong
    Fan, Zhichao
    Jiang, Huifeng
    Jiang, Heng
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE, VOL 6, PTS A AND B, 2010, : 1439 - 1444
  • [6] Fatigue life prediction for tower cranes under moving load
    Hongqi Jiang
    Xiao Jiang
    Journal of Mechanical Science and Technology, 2023, 37 : 6461 - 6466
  • [7] Fatigue life prediction for tower cranes under moving load
    Jiang, Hongqi
    Jiang, Xiao
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2023, 37 (12) : 6461 - 6466
  • [8] Fatigue Life Prediction of Aluminum Using Artificial Neural Network
    Jimenez-Martinez, Moises
    Alfaro-Ponce, Mariel
    ENGINEERING LETTERS, 2021, 29 (02) : 704 - 709
  • [9] A path-dependent adaptive physics-informed neural network for multiaxial fatigue life prediction
    Liao, Huiya
    Pan, Jun
    Su, Xihui
    Sun, Xingyue
    Chen, Xu
    International Journal of Fatigue, 2025, 193
  • [10] Roll load prediction - data collection, analysis and neural network modelling
    Yang, YY
    Linkens, DA
    Talamantes-Silva, J
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2004, 152 (03) : 304 - 315
12345