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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
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← Back to VOLUME 9, ISSUE 5, MAY 2022

Prediction of Compressive Strength of Conventional Concrete using Various Correlation Techniques between Destructive and Non Destructive Test Results on Concrete

Bharti Tekwani, Dr. Archana Bohra Gupta

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Abstract: To calibrate material properties destructive techniques as well as non destructive techniques mainly ultrasound pulse velocity (UPV), rebound hammer (RN), combined use of ultrasonic pulse velocity tester and rebound hammer (SonReb), Windsor probe penetration test etc. are frequently used to combine. For these purpose different mathematical models designed with the combination of NDT techniques. From last few decades data training method such as response surface, artificial neural network, least square method, fuzzy logic, M5 methods are popular. This review work presents the regression techniques proposed by various authors to estimate compressive strength by correlating destructive and non destructive test results on concrete.

Keywords: Correlation techniques, NDT, Response Surface, Artificial Neural Network, Least Square Method, Fuzzy Logic

How to Cite:

[1] Bharti Tekwani, Dr. Archana Bohra Gupta, “Prediction of Compressive Strength of Conventional Concrete using Various Correlation Techniques between Destructive and Non Destructive Test Results on Concrete,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2022.9564

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.