Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests

This study presents a comparative assessment of conventional soft computing techniques in estimating the compressive strength (CS) of concrete utilizing two non-destructive tests, namely ultrasonic pulse velocity and rebound hammer test. In specific, six conventional soft computing models namely bac...

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Bibliographic Details
Main Author: Asteris, Panagiotis G. (author)
Other Authors: Skentou, Athanasia D. (author), Bardhan, Abidhan (author), Samui, Pijush (author), Lourenço, Paulo B. (author)
Format: article
Language:eng
Published: 2021
Subjects:
Artificial neural networks
Compressive strength of Concrete
Non-destructive testing methods
Soft computing
Artificial Intelligence
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
Online Access:https://hdl.handle.net/1822/78643
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/78643

Internet

https://hdl.handle.net/1822/78643

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