Prediction of corrosion potential using the generalized artificial neural networks method.

Autor: Chérifi, Wafa Nor El Houda, Houmadi, Youcef, Aissa Mamoune, Sidi Mohammed
Předmět:
Zdroj: Canadian Journal of Civil Engineering; 2022, Vol. 49 Issue 6, p1040-1048, 9p
Abstrakt: The article presents a study which examined the reliability of experimental measurement data on the corrosion potential of reinforcement in a concrete or mortar using a generalized artificial neural network (ANN) method. The method is a non-destructive test and showed an acceptable degree of accuracy in predicting corrosion potential. Also cited is the growing use of the ANN method in civil engineering.
Databáze: Complementary Index