TY - JOUR
T1 - Tropical/non-tropical marine environments impact on the behaviour of carbon steel and galvanised steel
AU - Vera, Rosa
AU - de Rincón, Oladis Troconis
AU - Bagnara, Margarita
AU - Romero, Nathalie
AU - Araya, Raquel
AU - Ossandón, Sebastián
N1 - Publisher Copyright:
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
PY - 2018/5
Y1 - 2018/5
N2 - The aim of this study is to assess the main factors that affect the behaviour of carbon steel and galvanised steel in tropical and non-tropical marine environments, identifying those factors that directly affect the behaviour. The results from the INNOVA (Chile) and MICAT/PATINA (Venezuela) projects will be used. These projects evaluated metals exposed to different marine environments using procedures outlined in ISO 9223/9226. The results show that temperature has no significant effect on the behaviour of the materials at the study sites in question (Venezuela being 10 °C warmer than Chile), independent of the tropical nature of the exposure environment, while it is precipitation (>600 mm) and chloride and SO2 content in the environment that mainly influence the behaviour of the carbon steel and the galvanised steel. In addition, an artificial neural network was generated to evaluate the corrosion rate of the studied metals, using meteoro-chemical variables. The neural network for the carbon and galvanised steel was more precise for the exposure sites located in Chile.
AB - The aim of this study is to assess the main factors that affect the behaviour of carbon steel and galvanised steel in tropical and non-tropical marine environments, identifying those factors that directly affect the behaviour. The results from the INNOVA (Chile) and MICAT/PATINA (Venezuela) projects will be used. These projects evaluated metals exposed to different marine environments using procedures outlined in ISO 9223/9226. The results show that temperature has no significant effect on the behaviour of the materials at the study sites in question (Venezuela being 10 °C warmer than Chile), independent of the tropical nature of the exposure environment, while it is precipitation (>600 mm) and chloride and SO2 content in the environment that mainly influence the behaviour of the carbon steel and the galvanised steel. In addition, an artificial neural network was generated to evaluate the corrosion rate of the studied metals, using meteoro-chemical variables. The neural network for the carbon and galvanised steel was more precise for the exposure sites located in Chile.
KW - artificial neural network
KW - atmospheric corrosion
KW - carbon steel
KW - galvanised steel
KW - tropical and non-tropical marine environments
UR - http://www.scopus.com/inward/record.url?scp=85035213650&partnerID=8YFLogxK
U2 - 10.1002/maco.201709873
DO - 10.1002/maco.201709873
M3 - Article
AN - SCOPUS:85035213650
SN - 0947-5117
VL - 69
SP - 614
EP - 625
JO - Materials and Corrosion
JF - Materials and Corrosion
IS - 5
ER -
