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ANN-Based LUBE Model for Interval Prediction of Compressive Strength of Concrete

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Iranian Journal of Science and Technology, Transactions of Civil Engineering Aims and scope Submit manuscript

Abstract

This study uses ANN-based lower upper bound estimation (LUBE) method for construction of prediction intervals (PIs) at different confidence levels (CL) for the compressive strength of concrete for the first time. For the purpose of this study, an experimental study is done to prepare the required database from different mix designs of concrete. The results of this study demonstrate efficiency of the LUBE method for the three CLs considered of 85%, 90% and 95% in which the values of prediction interval coverage probability (PICP) are all greater or equal than CLs, which indicates that the ANN-based LUBE method can produce PIs with a reliable coverage probability. In addition, with average interval width index of 34.0% and the average failure distance index of 3.7% for three confidence levels, LUBE represents a more reliable and informative than exact point predictions for the compressive strength data in the test data set.

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Authors and Affiliations

  1. Department of Civil Engineering, Engineering Faculty, University of Kashan, Kashan, Iran

    Mahmood Akbari

  2. IEEE, Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong, Australia

    H. M. Dipu Kabir & Abbas Khosravi

  3. School of Architecture & Built Environment, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, Australia

    Farnad Nasirzadeh

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  1. Mahmood Akbari
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  2. H. M. Dipu Kabir
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  3. Abbas Khosravi
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  4. Farnad Nasirzadeh
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Correspondence to Mahmood Akbari.

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Akbari, M., Kabir, H.M.D., Khosravi, A. et al. ANN-Based LUBE Model for Interval Prediction of Compressive Strength of Concrete. Iran J Sci Technol Trans Civ Eng 46, 1225–1235 (2022). https://doi.org/10.1007/s40996-021-00684-x

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