Estimation of Welding Distortion Using Neural Network
Author: Okumoto, Yasuhisa
Source: Journal of Ship Production, Volume 24, Number 4, November 2008 , pp. 190-195(6)
Abstract:Recently, the prediction of welding distortion of steel structure has been carried out widely. Though the thermal elastic-plasticity finite element method (FEM) analysis is usually required to ensure the accuracy of the estimation, technical knowledge is required, and long computing time is necessary. In this study, simplification of the prediction was done using a neural network model, in which the calculation result of the FEM analysis was incorporated in teacher data, for the fillet welding of T-type buildup structure, etc. This program would be able to estimate the welding distortion of the joint with different dimensions and welding conditions in a simple manner.
Document Type: Research Article
Publication date: November 2008
- The Journal of Ship Production publishes original and timely technical papers addressing problems of shipyard techniques and production of merchant and naval ships appear in this quarterly publication. Since its inception, the Journal has been a forum for peer-reviewed, professionally edited papers from academic and industry sources. As such, it has influenced the worldwide development of ship production engineering as a fully qualified professional discipline. Each issue contains a well-rounded selection of technical papers relevant to ship professionals, including written discussions and author's closures.
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