In:
Anti-Corrosion Methods and Materials, Emerald, Vol. 57, No. 5 ( 2010-09-14), p. 234-237
Kurzfassung:
The purpose of this paper is to analyze and estimate the stray current corrosion hazard of a buried metallic pipeline using a predictive model for stray current density. Design/methodology/approach A predictive model for stray current density of the buried metallic pipeline was built, using a back propagation (BP) neural network method and experimental data. The accuracy of the model was tested using test samples. The single sensitivity analysis predictive method was used to establish the relationship between stray current density with the soil resistivity. The effects of buried depth and the pipe‐to‐ground voltage offset were researched using this network model. Findings The feasibility of the BP neural network to forecast stray current effects from the buried metallic pipeline was confirmed. Originality/value The paper provides a new method to analyze and estimate the stray current corrosion hazard of buried metallic pipelines.
Materialart:
Online-Ressource
ISSN:
0003-5599
DOI:
10.1108/00035591011075869
Sprache:
Englisch
Verlag:
Emerald
Publikationsdatum:
2010
ZDB Id:
1477132-9
ZDB Id:
2419228-4
