In materials science, performance prediction of materials plays an important role in
improving the quality of materials as well as preventing serious damage to the environment …

The presented work deals with the creation of a new radial basis function artificial neural
network-based model of dynamic thermo-mechanical response and damping behavior of …

As the primary raw material of steel structure buildings, steel is sensitive to environmental
factors and prone to electrochemical corrosion, which poses a serious threat to the safety of …

This article presents a new methodology that involves statistical tools and artificial neural
network (ANN) modeling to predict the non-linear variation of the electrochemical …

There are obvious differences in the corrosion process of materials in different climatic
regions, and it is of great significance to establish the corrosion process model considering …

Demand for risk analysis on corrosion and stress corrosion cracking (SCC) related failure
events is increasing globally. Analyzing such failure events is complex since multiple factors …

All industries are interesting in the durability/service life of products, structures, equipment,
plants, etc. One factor affecting this is corrosion resistance. There are many methods for …