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This paper presents application experience of the controlled, unmanned system and technologies that allowed predicting of corrosion conditions and other possible damage to underground pipelines.
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Knowledge of the localized corrosion environment on a metal substrate can provide the critical link between atmospheric data and corrosion morphology and can enable the formation of a framework to predict service life as a function of environment. Over the last few decades the analytical characterization of bare metal surfaces undergoing atmospheric corrosion has improved, resulting in a more complete understanding and consideration of the environmental parameters involved. However, the corrosion processes and the role that the environmental parameters play in what is a multiphase system is rather complex involving chemical reactions and equilibria, ionic transport phenomena, and gaseous, aqueous and solid phases.
Atmospheric corrosion proceeds via several processes that proceed in sequence and/or parallelacross multiple classes of matter (the atmosphere, condensed aqueous solution, polymer coatings, oxidescales, precipitated salts, and microstructurally heterogeneous metal alloys). Multiple physical andchemical phenomena contribute to the process of corrosion, including mass-transport, electrochemicaleffects, metal dissolution, grain-boundary transport, etc. For this reason, it is difficult to directly predict,using fundamental physics or chemical principles, the corrosion rate of a metal in its environment.