KSME International Journal

, Volume 16, Issue 11, pp 1359–1366 | Cite as

Prediction of error due to eccentricity of hole in hole-drilling method using neural network



The measurement of residual stresses by the hole-drilling method has been used to evaluate residual stresses in structural members. In this method, eccentricity can usually occur between the hole center and rosette gage center. In this study, we obtained the magnitude of the error due to eccentricity of a hole through the finite element analysis. To predict the magnitude of the error due to eccentricity of a hole in the biaxial residual stress field, it could be learned through the backpropagation neural network. The prediction results of the error using the trained neural network showed good agreement with FE analyzed results.

Key Words

Hole-Drilling Method Finite Element Analysis Residual Stress Neural Network 


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Copyright information

© The Korean Society of Mechanical Engineers (KSME) 2002

Authors and Affiliations

  1. 1.Fracture Mechanics Lab., School of Mechanical EngineeringSungkyunkwan UniversityKyunggi-doKorea
  2. 2.School of Mechanical EngineeringSungkyunkwan UniversityKyunggi-doKorea

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