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Gene expression programming based formulations for splitting tensile strength of concrete

► GEP formulations for f spt using only cube f c or WB and cube f c of concrete are developed. ► Experimental f spt results of concrete are compared with results of GEP and regression formulations. ► The results are also compared with the results of formulations proposed by some building codes. ► Th...

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Published in:Construction & building materials 2012, Vol.26 (1), p.404-410
Main Author: Ozcan, Fatih
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Language:English
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description ► GEP formulations for f spt using only cube f c or WB and cube f c of concrete are developed. ► Experimental f spt results of concrete are compared with results of GEP and regression formulations. ► The results are also compared with the results of formulations proposed by some building codes. ► The results of GEP formulations are closer to experimental results according to the other results for predicting f spt . In this study, gene expression programming (GEP) formulations for splitting tensile strength ( f spt ) of the cylinder specimens with 150 mm diameter and 300 mm height using compressive strength ( f c ) of concrete cube specimens with 150 mm dimension are developed. Two models, called as GEP-I and GEP-II, are developed for predicting f spt by using GEP. The database used in the GEP models is based on experimental data obtained from literature. In the GEP-I model, while f c is used as input variable, f spt is used as output variable. However, in the GEP-II model, as well as f c , water–binder ratio (WB) is used as input variables. The data sets used in training and testing stages are randomly selected among all experimental data. The GEP formulations are also validated with additional experimental data other than the data used in training and testing sets of the GEP models. Experimental f spt results of concrete specimens are compared with GEP formulations, proposed formulations by some national building codes and the developed regression-based formulation results. The results show that GEP formulations have strong potential as a feasible tool for prediction of the f spt from only 150 mm cube f c or WB and 150 mm cube f c of concrete.
doi_str_mv 10.1016/j.conbuildmat.2011.06.039
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In this study, gene expression programming (GEP) formulations for splitting tensile strength ( f spt ) of the cylinder specimens with 150 mm diameter and 300 mm height using compressive strength ( f c ) of concrete cube specimens with 150 mm dimension are developed. Two models, called as GEP-I and GEP-II, are developed for predicting f spt by using GEP. The database used in the GEP models is based on experimental data obtained from literature. In the GEP-I model, while f c is used as input variable, f spt is used as output variable. However, in the GEP-II model, as well as f c , water–binder ratio (WB) is used as input variables. The data sets used in training and testing stages are randomly selected among all experimental data. The GEP formulations are also validated with additional experimental data other than the data used in training and testing sets of the GEP models. Experimental f spt results of concrete specimens are compared with GEP formulations, proposed formulations by some national building codes and the developed regression-based formulation results. 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Experimental f spt results of concrete specimens are compared with GEP formulations, proposed formulations by some national building codes and the developed regression-based formulation results. 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In this study, gene expression programming (GEP) formulations for splitting tensile strength ( f spt ) of the cylinder specimens with 150 mm diameter and 300 mm height using compressive strength ( f c ) of concrete cube specimens with 150 mm dimension are developed. Two models, called as GEP-I and GEP-II, are developed for predicting f spt by using GEP. The database used in the GEP models is based on experimental data obtained from literature. In the GEP-I model, while f c is used as input variable, f spt is used as output variable. However, in the GEP-II model, as well as f c , water–binder ratio (WB) is used as input variables. The data sets used in training and testing stages are randomly selected among all experimental data. The GEP formulations are also validated with additional experimental data other than the data used in training and testing sets of the GEP models. 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subjects Analysis
Compressive strength
Concrete
Gene expression programming
Properties
Splitting tensile strength
Strength of materials
title Gene expression programming based formulations for splitting tensile strength of concrete
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