A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Artificial Intelligence Applied in the Concrete Durability Study
Interest in artificial intelligence (AI) in engineering research and practice has increased in recent years, especially the use of artificial neural network (ANN). The ANN has similar characteristics to biological neural networks, efficiently recognizing patterns and behaviors, suited to provide an accurate tool to map and understand the concrete degradation. This chapter presents the positive aspects of artificial neural network to model different concrete degradation mechanisms and provides a detailed procedure for ANN design. As example, the concrete carbonation depth is modeled by an ANN and the results show the its ability to map the carbonation phenomenon.
Artificial Intelligence Applied in the Concrete Durability Study
Interest in artificial intelligence (AI) in engineering research and practice has increased in recent years, especially the use of artificial neural network (ANN). The ANN has similar characteristics to biological neural networks, efficiently recognizing patterns and behaviors, suited to provide an accurate tool to map and understand the concrete degradation. This chapter presents the positive aspects of artificial neural network to model different concrete degradation mechanisms and provides a detailed procedure for ANN design. As example, the concrete carbonation depth is modeled by an ANN and the results show the its ability to map the carbonation phenomenon.
Artificial Intelligence Applied in the Concrete Durability Study
Building Pathology
Delgado, J.M.P.Q. (editor) / Felix, E. F. (author) / Possan, E. (author) / Carrazedo, R. (author)
2020-07-14
23 pages
Article/Chapter (Book)
Electronic Resource
English
Concrete Aggregate Durability Study
| NTIS | 2009
| UB Braunschweig | 2014
| TIBKAT | 2014