Annual Atmospheric Corrosion of Carbon Steel Worldwide. An Integration of ISOCORRAG, ICP/UNECE and MICAT Databases

In the 1980s, three ambitious international programmes on atmospheric corrosion (ISOCORRAG, ICP/UNECE and MICAT), involving the participation of a total of 38 countries on four continents, Europe, America, Asia and Oceania, were launched. Though each programme has its own particular characteristics, the similarity of the basic methodologies used makes it possible to integrate the databases obtained in each case. This paper addresses such an integration with the aim of establishing simple universal damage functions (DF) between first year carbon steel corrosion in the different atmospheres and available environmental variables, both meteorological (temperature (T), relative humidity (RH), precipitation (P), and time of wetness (TOW)) and pollution (SO2 and NaCl). In the statistical processing of the data, it has been chosen to differentiate between marine atmospheres and those in which the chloride deposition rate is insignificant (<3 mg/m2.d). In the DF established for non-marine atmospheres a great influence of the SO2 content in the atmosphere was seen, as well as lesser effects by the meteorological parameters of RH and T. Both NaCl and SO2 pollutants, in that order, are seen to be the most influential variables in marine atmospheres, along with a smaller impact of TOW.

[1]  Pedro Albrecht,et al.  ATMOSPHERIC CORROSION RESISTANCE OF STRUCTURAL STEELS , 2003 .

[2]  Robert E. Melchers,et al.  A new interpretation of the corrosion loss processes for weathering steels in marine atmospheres , 2008 .

[3]  P. Roberge,et al.  Aerosol transport modeling as an aid to understanding atmospheric corrosivity patterns , 1999 .

[4]  Sebastián Feliu,et al.  The prediction of atmospheric corrosion from meteorological and pollution parameters—I. Annual corrosion , 1993 .

[5]  Iván Díaz,et al.  Atmospheric corrosion data of weathering steels. A review , 2013 .

[6]  J. Sliggers.  Convention on Long-Range Transboundary Air Pollution , 2011 .

[7]  M. Benarie,et al.  A general corrosion function in terms of atmospheric pollutant concentrations and rain pH , 1986 .

[8]  Pierre R. Roberge,et al.  Atmospheric corrosivity modeling — a review , 2002 .

[9]  K. Kreislová,et al.  ISOCORRAG International Atmospheric Exposure Program: Summary of Results , 2010 .

[10]  Pedro Albrecht,et al.  A New Approach to Power-Model Regression of Corrosion Penetration Data , 1992 .

[11]  A. Tollan,et al.  Putting Gentle Pressure on Parties: Recent Trends in the Practice of the Implementation Committee under the Convention on Long-range Transboundary Air Pollution , 1985, Nordic Cosmopolitanism.

[12]  Sebastián Feliu,et al.  THE PREDICTION OF ATMOSPHERIC CORROSION FROM METEOROLOGICAL AND POLLUTION PARAMETERS--II. LONG-TERM FORECASTS , 1993 .

[13]  Yu. M. Panchenko,et al.  Long-term prediction of metal corrosion losses in atmosphere using a power-linear function , 2016 .

[14]  Robert E. Melchers,et al.  Long-term corrosion of cast irons and steel in marine and atmospheric environments , 2013 .

[15]  W. Ailor,et al.  Corrosiveness of Various Atmospheric Test Sites as Measured by Specimens of Steel and Zinc , 1968 .

[16]  D Knotková-Čermáková,et al.  Corrosion aggressivity of atmospheres (derivation and classification) , 1982 .

[17]  Mahendra Adikari,et al.  Development of a Corrosion Model for Prediction of Atmospheric Corrosion of Mild Steel , 2016 .

[18]  H. Eyring,et al.  Atmospheric Corrosion , 1974, Proceedings of the National Academy of Sciences of the United States of America.

[19]  Iván Díaz,et al.  Airborne chloride deposit and its effect on marine atmospheric corrosion of mild steel , 2015 .

[20]  Daniel de la Fuente,et al.  Corrosión atmosférica de metales en condiciones climáticas extremas , 2000 .

[21]  Yu. M. Panchenko,et al.  Long-term forecast of corrosion mass losses of technically important metals in various world regions using a power function , 2014 .