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      Prediction of Splitting Tensile Strength from Cylinder Compressive Strength of Concrete by Support Vector Machine

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      Advances in Materials Science and Engineering
      Hindawi Limited

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          Abstract

          Compressive strength and splitting tensile strength are both important parameters that are utilized for characterization concrete mechanical properties. This paper aims to show a possible applicability of support vector machine (SVM) to predict the splitting tensile strength of concrete from compressive strength of concrete, a SVM model was built, trained, and tested using the available experimental data gathered from the literature. All of the results predicted by the SVM model are compared with results obtained from experimental data, and we found that the predicted splitting tensile strength of concrete is in good agreement with the experimental data. The splitting tensile strength results predicted by SVM are also compared to those obtained by using empirical results of the building codes and various models. These comparisons show that SVM has strong potential as a feasible tool for predicting splitting tensile strength from compressive strength.

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          Most cited references9

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          Experimental relationship between splitting tensile strength and compressive strength of GFRC and PFRC

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            Using support vector machines for time series prediction

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              Prediction of splitting tensile strength of high-performance concrete

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                Author and article information

                Journal
                Advances in Materials Science and Engineering
                Advances in Materials Science and Engineering
                Hindawi Limited
                1687-8434
                1687-8442
                2013
                2013
                : 2013
                :
                : 1-13
                Article
                10.1155/2013/597257
                9a9f3baa-a0a6-437e-8a0b-ef745eef9e5b
                © 2013

                http://creativecommons.org/licenses/by/3.0/

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