Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Compressive Strength of Concrete Estimated by Artificial Neural Networks and a Non-destructive Testing of Ultrasound
This work presents an experimental campaign with 162 specimens of cylindrical specimens of 10 × 20 cm2 and 27 prismatic specimens with 25 × 25 × 50 cm3, in order to analyse the influence of nine different concrete mixtures on compressive strength and the propagation profile of longitudinal ultrasonic waves. A neural network is best defined as a set of simple, highly interconnected processing elements that are capable of learning information presented to them and its ability to learn and process information classifies it as a form of artificial intelligence. In this work, neural networks models were used to find out the influence of several parameters used in fabrication of concrete on the material compressive strength. The results obtained showed that the simulation with neural networks associated with ultrasound tests are important tools to evaluate the compressive strength of concrete.
Compressive Strength of Concrete Estimated by Artificial Neural Networks and a Non-destructive Testing of Ultrasound
This work presents an experimental campaign with 162 specimens of cylindrical specimens of 10 × 20 cm2 and 27 prismatic specimens with 25 × 25 × 50 cm3, in order to analyse the influence of nine different concrete mixtures on compressive strength and the propagation profile of longitudinal ultrasonic waves. A neural network is best defined as a set of simple, highly interconnected processing elements that are capable of learning information presented to them and its ability to learn and process information classifies it as a form of artificial intelligence. In this work, neural networks models were used to find out the influence of several parameters used in fabrication of concrete on the material compressive strength. The results obtained showed that the simulation with neural networks associated with ultrasound tests are important tools to evaluate the compressive strength of concrete.
Compressive Strength of Concrete Estimated by Artificial Neural Networks and a Non-destructive Testing of Ultrasound
Building Pathology
Delgado, João M. P. Q. (Herausgeber:in) / Cavalcanti, R. S. (Autor:in) / Silva, F. A. N. (Autor:in) / Delgado, J. M. P. Q. (Autor:in) / Azevedo, A. C. (Autor:in)
25.04.2021
14 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
| DOAJ | 2005
| BASE | 2005
| BASE | 2005
Prediction of concrete compressive strength through artificial neural networks
| DOAJ | 2020