Neural network analysis of structural damage due to corrosion

Author

Furuta, Hitoshi ; Deguchi, Tsunenobu ; Kushida, Moriyoshi

Author_Institution

Dept. of Inf., Kansai Univ., Osaka, Japan

fYear

1995

Firstpage

109

Lastpage

114

Abstract

We attempt to develop a practical decision support system for the damage assessment of structural corrosion. This system aims to aid inexperienced inspectors to judge whether a certain bridge should be repaired or not. For this purpose, it is attempted to apply the neural network technique for the damage assessment. The learning ability of the neural network is useful to save the working time and load necessary in the inspection and analysis

Keywords

coatings; corrosion; decision support systems; image processing; inspection; learning (artificial intelligence); maintenance engineering; neural nets; structural engineering computing; analysis; corrosion; damage assessment; decision support system; inexperienced inspectors; inspection; learning ability; load; neural network analysis; structural damage; working time; Bridges; Computer aided manufacturing; Corrosion; Data mining; Decision support systems; Image processing; Inspection; Manufacturing processes; Neural networks; Paints;

fLanguage

English

Publisher

ieee

Conference_Titel

Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on

Conference_Location

College Park, MD

Print_ISBN

0-8186-7126-2

Type

conf

DOI

10.1109/ISUMA.1995.527678

Filename

527678