Estimation of concrete compressive strength from non-destructive tests using a customized neural network and genetic algorithm

Author:

Park Jun Su,Park SinwonORCID,Oh Byung Kwan,Hong TaehoonORCID,Lee Dong-EunORCID,Park Hyo SeonORCID

Publisher

Elsevier BV

Reference62 articles.

1. Concrete compressive strength prediction using neural networks based on non-destructive tests and a self-calibrated response surface methodology;Poorarbabi;J. Nondestruct. Eval.,2020

2. Correlation between non-destructive testing (NDT) and destructive testing (DT) of compressive strength of concrete;Samson;Int. J. Eng. Sci. Invent.,2014

3. A comparative investigation using machine learning methods for concrete compressive strength estimation;Güçlüer;Mater. Today Commun.,2021

4. Prediction of concrete compressive strength using non-destructive test results;Erdal;Comput. Concr.,2018

5. Non-destructive prediction of concrete compressive strength using neural networks;Khashman;Procedia Comput. Sci.,2017

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