Use of Nondestructive Testing of Ultrasound and Artificial Neural Networks to Estimate Compressive Strength of Concrete
The work presents the results of an experimental campaign carried out on concrete elements in order to investigate the potential of using artificial neural networks (ANNs) to estimate the compressive strength based on relevant parameters, such as the water–cement ratio, aggregate–cement ratio, age o...
Main Authors: | Fernando A. N. Silva, João M. P. Q. Delgado, Rosely S. Cavalcanti, António C. Azevedo, Ana S. Guimarães, Antonio G. B. Lima |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
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Series: | Buildings |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-5309/11/2/44 |
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