This work provides a data-oriented overview of the rapidly growing research field covering
machine learning (ML) applied to predicting electrochemical corrosion. Our main aim was to …

Marine environments are well-known to be very corrosive for mild and low alloy steels. For
reasons of economy, such steels are still the preferred materials for off-shore structures, ship …

Research has been carried out for one year in six pure marine atmospheres with annual
average chloride deposition rates of 70–1906 mg Cl−/m 2 day. A study of some …

This paper proposes an intelligent digital twin framework for corrosion fatigue life prediction
and calibration of suspender wires integrated with mechanism-driven, sensor-driven, and …

Atmospheric corrosion prediction models were constructed based on the corrosion rates of
carbon steel and 12 environmental factors from long-term exposure tests. Prior to support …

This paper considers essential theoretical concepts and data requirements for engineering
structural reliability assessment suitable for the estimation of the safety and reliability of …

The atmospheric corrosion of metallic materials causes great economic loss every year
worldwide. Thus, it is meaningful to predict the corrosion loss in different field environments …

A pulsed eddy current (PEC) system has been used to characterize atmospheric corrosion
on steel samples. International Paint has supplied coated and uncoated mild steel (S275) …

The atmospheric corrosion kinetics of low carbon steel exposed for up to 36 months in
marine and industrial sites was studied by weight loss measurements. The results show that …

The corrosion resistance and mechanical strength of four newly developed low-alloy steels
(LAS) were compared with a carbon steel (SS400) and a weathering steel (Acr-Ten A) using …