Autor: |
Chérifi, Wafa Nor El Houda, Houmadi, Youcef, Aissa Mamoune, Sidi Mohammed |
Předmět: |
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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 |
Externí odkaz: |
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