Machine to study fatigue crack growth in PVC pipes

被引：0
|
作者：
机构：
来源：
AEJ Alexandria Eng J | / 2卷 / A 137期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] FATIGUE OF POLYMERS - CRACK GROWTH IN PVC
    RADON, JC
    JOURNAL OF MACROMOLECULAR SCIENCE-PHYSICS, 1977, B14 (04): : 511 - 523
  • [2] Application of Machine Learning Algorithms For Crack Detection in PVC Pipes
    Khan, Muhammad Safeer
    Patil, Raj Vardhan
    2019 IEEE SOUTHEASTCON, 2019,
  • [3] Fatigue strength of PVC pipes
    Hyakutake, Hiizu
    Hagio, Terutoshi
    Zairyo/Journal of the Society of Materials Science, Japan, 1988, 37 (423) : 1381 - 1385
  • [4] Fatigue crack growth and penetration behaviour in pipes subjected to bending load
    Yoo, YS
    Ahn, SH
    Ando, K
    LIFETIME MANAGEMENT AND EVALUATION OF PLANT, STRUCTURES AND COMPONENTS, 1998, : 159 - 166
  • [5] FATIGUE CRACK GROWTH IN PMMA AND RIGID PVC UNDER BIAXIAL STRESS
    LEEVERS, PS
    CULVER, LE
    RADON, JC
    ENGINEERING FRACTURE MECHANICS, 1979, 11 (03) : 487 - 498
  • [6] A Comparison Study of Machine Learning Based Algorithms for Fatigue Crack Growth Calculation
    Wang, Hongxun
    Zhang, Weifang
    Sun, Fuqiang
    Zhang, Wei
    MATERIALS, 2017, 10 (05):
  • [7] Fatigue crack growth and slow crack growth of HDPE pipes under internal pressure and fiat plate compression
    Gao, Bingjun
    Luo, Mingyuan
    Lin, Kaiming
    Ding, Juncai
    Liu, Botao
    INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2024, 208
  • [8] Machine learning approach to predict fatigue crack growth
    Kamble, Rohit G.
    Raykar, N. R.
    Jadhav, D. N.
    MATERIALS TODAY-PROCEEDINGS, 2021, 38 : 2506 - 2511
  • [9] Fatigue crack growth estimation by relevance vector machine
    Zio, Enrico
    Di Maio, Francesco
    EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (12) : 10681 - 10692
  • [10] Experimental study of the growth of the fatigue crack
    Sun, Yuantao
    Wang, Shaomei
    Sun, Guozheng
    Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering), 2006, 30 (04): : 637 - 638
12345