Artificial Intelligence-based Compressive Strength Prediction of Medium to High Strength Concrete

Al-Haidari, Hawraa Saeed Jawad; Al-Haydari, Israa Saeed

doi:10.1007/s40996-021-00717-5

Research Paper
Published: 09 August 2021

Artificial Intelligence-based Compressive Strength Prediction of Medium to High Strength Concrete

Iranian Journal of Science and Technology, Transactions of Civil Engineering volume 46, pages 951–964 (2022)Cite this article

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Abstract

Predicting the compressive strength of concrete before casting is a requisite criterion. This research develops an artificial intelligence-based model for compressive strength prediction based on experimental data. A laboratory experimental program, covering the main variables that affect the test results, was conducted. Then, neural network (ANN) and neuro-fuzzy (ANFIS) models were developed based on four targets compressive strength (40, 60, 70, and 80 MPa), three testing ages (7, 28, and 90 days), three protocols of curing, two different specimens shapes (cylinder and cube), and three different specimens sizes. The model output, the predicted compressive strength, revealed a good agreement with the experimental test results for both ANN and ANFIS approaches. The correlation coefficients for ANN and ANFIS models are 0.976 and 0.989, respectively. The best results are obtained by ANFIS because it provides a slightly lower root mean squared error and a higher correlation coefficient.

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Acknowledgements

The authors would like to thank Mustansiriyah University (www.uomustansiriyah.edu.iq) Baghdad-Iraq, for its support in the present work.

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Authors and Affiliations

Civil Engineering Department, Al-Nahrain University, Baghdad, Iraq
Hawraa Saeed Jawad Al-Haidari
Highway and Transportation Engineering, Mustansiriyah University, Baghdad, Iraq
Israa Saeed Al-Haydari

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Hawraa Saeed Jawad Al-Haidari
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Israa Saeed Al-Haydari
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Correspondence to Israa Saeed Al-Haydari.

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Al-Haidari, H.S.J., Al-Haydari, I.S. Artificial Intelligence-based Compressive Strength Prediction of Medium to High Strength Concrete. Iran J Sci Technol Trans Civ Eng 46, 951–964 (2022). https://doi.org/10.1007/s40996-021-00717-5

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Received: 03 March 2020
Accepted: 02 August 2021
Published: 09 August 2021
Issue Date: April 2022
DOI: https://doi.org/10.1007/s40996-021-00717-5

Keywords

Compressive strength
Curing
Specimen size and shape
ANN
ANFIS
Portland cement concrete