ePrints

Study on the prediction of ship plate distortion topology by neural networks

Lookup NU author(s): Professor George Bruce

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

Ship plate distortion results in a decrease in strength and aesthetics, has a detrimental effect on the fabrication process, as well as an increase in production cost due to the need for correction. Welding heat has been regarded as a major contributor to distortion. Assessing the distortion problem, without making assumptions, is extremely difficult due to the complexity of the variables involved, e.g., welding procedures, materials, design, and geometry. This paper develops a neural network model to predict the topology of ship plate distortion. The developed model presents good agreement with actual distortion data that have been obtained. In terms of variable sensitivity, chemical composition should be taken into account.

Publication metadata

Author(s): Yuliadi MZ, Shahab A, Bruce G

Publication type: Article

Publication status: Published

Journal: Journal of Ship Production

Year: 1999

Volume: 15

Issue: 4

Pages: 191-197

Print publication date: 01/11/1999

ISSN (print): 8756-1417

ISSN (electronic): 1542-0469

Share