Dose-response functions (DRFs) developed for the prediction of first-year corrosion losses of carbon steel and zinc (K1) in continental regions are presented. The dependences of mass losses on SO2 concentration, K = f([SO2]), obtained from experimental data, as well as nonlinear dependences of mass losses on meteorological parameters, were taken into account in the development of the DRFs. The development of the DRFs was based on the experimental data from one year of testing under a number of international programs: ISO CORRAG, MICAT, two UN/ECE programs, the Russian program in the Far-Eastern region, and data published in papers. The paper describes predictions of K1 values of these metals using four different models for continental test ...
A new mathematical model for the estimation of atmospheric corrosion rates that satisfactorily descr...
Models for the prediction of corrosion often give the misleading impression that corrosion of steel ...
Abstract Ever since industrial revolution, the world climatic conditions have been deteriorating due...
Dose-response functions (DRFs) developed for the prediction of first-year corrosion losses of carbon...
The dose-response functions (DRFs) developed for the prediction of first-year corrosion losses of co...
The knowledge of the first-year corrosion losses of metals (K1) in various regions of the world is o...
A number of damage functions or dose-response equation, which are compared to the atmospheric corros...
Mathematical modelling of atmospheric corrosion based on the aggressiveness categories defined by st...
Mathematical modelling of atmospheric corrosion based on the aggressiveness categories defined by st...
Most metals and alloys exposed to the environment suffer deterioration due to the effects of atmosph...
In the 1980s, three ambitious international programmes on atmospheric corrosion (ISOCORRAG, ICP/UNEC...
The article deals with the calculation of corrosion losses of weathering steels with doseresponse ...
Atmospheric factors, namely, time of wetness of corroding metal panels, panel temperature, and atmos...
Past attempts to develop models that predict atmospheric corrosion rates used statistical regression...
In the 1980s, three ambitious international programmes on atmospheric corrosion (ISOCORRAG, ICP/UNEC...
A new mathematical model for the estimation of atmospheric corrosion rates that satisfactorily descr...
Models for the prediction of corrosion often give the misleading impression that corrosion of steel ...
Abstract Ever since industrial revolution, the world climatic conditions have been deteriorating due...
Dose-response functions (DRFs) developed for the prediction of first-year corrosion losses of carbon...
The dose-response functions (DRFs) developed for the prediction of first-year corrosion losses of co...
The knowledge of the first-year corrosion losses of metals (K1) in various regions of the world is o...
A number of damage functions or dose-response equation, which are compared to the atmospheric corros...
Mathematical modelling of atmospheric corrosion based on the aggressiveness categories defined by st...
Mathematical modelling of atmospheric corrosion based on the aggressiveness categories defined by st...
Most metals and alloys exposed to the environment suffer deterioration due to the effects of atmosph...
In the 1980s, three ambitious international programmes on atmospheric corrosion (ISOCORRAG, ICP/UNEC...
The article deals with the calculation of corrosion losses of weathering steels with doseresponse ...
Atmospheric factors, namely, time of wetness of corroding metal panels, panel temperature, and atmos...
Past attempts to develop models that predict atmospheric corrosion rates used statistical regression...
In the 1980s, three ambitious international programmes on atmospheric corrosion (ISOCORRAG, ICP/UNEC...
A new mathematical model for the estimation of atmospheric corrosion rates that satisfactorily descr...
Models for the prediction of corrosion often give the misleading impression that corrosion of steel ...
Abstract Ever since industrial revolution, the world climatic conditions have been deteriorating due...