Residual stress prediction using neural network approach

被引：0
|
作者：
Menda, František [1 ]
More, Marcel [2 ]
Cardona-Cuervo, G.P. [3 ]
Martinez-Tabares, F.J. [3 ]
机构：
[1] Technical University of Košice, Department of Applied Mechanics and Mechatronics, Letná 9, 04200 Košice, Slovakia
[2] Technical University of Košice, Department of Automation, Control and Human Machine interaction, Letná 9, 04200 Košice, Slovakia
[3] CELBIT LTDA, Via Aeropuerto, U. Nacional Bl.X105 Parque Innovacion, Colombia
来源：
Applied Mechanics and Materials | 2014年 / 611卷
关键词：
Residual stresses;
D O I：
10.4028/www.scientific.net/AMM.611.436
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：436 / 440
相关论文
共 50 条
  • [21] Residual stress prediction of arc welded austenitic pipes with artificial neural network ensemble using experimental data
    Rissaki, D. K.
    Benardos, P. G.
    Vosniakos, G. -C
    Smith, M. C.
    Vasileiou, A. N.
    INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2023, 204
  • [22] Evaluation of residual stress gradients by diffraction methods with wavelets; a neural network approach
    Wern, H
    Ringeisen, M
    NONDESTRUCTIVE EVALUATION OF AGING MATERIALS AND COMPOSITES III, 1999, 3585 : 318 - 328
  • [23] Predicting residual stress based on the Barkhausen noise measurements: a neural network approach
    Sorsa, Aki
    Leiviska, Kauko
    9TH INTERNATIONAL CONFERENCE ON BARKHAUSEN NOISE AND MICROMAGNETIC TESTING, 2011, : 43 - 54
  • [24] Prediction of residual stress effects on fracture instability using the local approach
    Yamashita, Y.
    Sakano, K.
    Onozuka, M.
    Minami, F.
    ASTM Special Technical Publication, 2001, (1406): : 247 - 260
  • [25] Residual Separation of Magnetic Fields Using a Cellular Neural Network Approach
    A. M. Albora
    A. Özmen
    O. N. Uçan
    pure and applied geophysics, 2001, 158 : 1797 - 1818
  • [26] Prediction of residual stress effects on fracture instability using the Local Approach
    Yamashita, Y
    Sakano, K
    Onozuka, M
    Minami, F
    FATIGUE AND FRACTURE MECHANICS: 32ND VOLUME, 2002, 1406 : 247 - 260
  • [27] Residual separation of magnetic fields using a Cellular Neural Network approach
    Albora, AM
    Özmen, A
    Uçan, ON
    PURE AND APPLIED GEOPHYSICS, 2001, 158 (9-10) : 1797 - 1818
  • [28] Stability prediction of Himalayan residual soil slope using artificial neural network
    Ray, Arunava
    Kumar, Vikash
    Kumar, Amit
    Rai, Rajesh
    Khandelwal, Manoj
    Singh, T. N.
    NATURAL HAZARDS, 2020, 103 (03) : 3523 - 3540
  • [29] Stability prediction of Himalayan residual soil slope using artificial neural network
    Arunava Ray
    Vikash Kumar
    Amit Kumar
    Rajesh Rai
    Manoj Khandelwal
    T. N. Singh
    Natural Hazards, 2020, 103 : 3523 - 3540
  • [30] Stability Prediction of Residual Soil and Rock Slope Using Artificial Neural Network
    Paliwal, Mahesh
    Goswami, Himkar
    Ray, Arunava
    Bharati, Ashutosh Kumar
    Rai, Rajesh
    Khandelwal, Manoj
    ADVANCES IN CIVIL ENGINEERING, 2022, 2022
12345