In this paper a new view for the analytical formulation of the torsional ultimate strength for reinforced concrete (RC) beams by experimental data is explored by using a new hybrid regression method termed Evolutionary Polynomial Regression (EPR). EPR combines the best features of conventional numerical regression techniques with the effectiveness of genetic programming for constructing symbolic expressions of regression models. The efficiency of such approach is tested using experimental data of sixty-four rectangular RC beams reported in the technical literature. The procedure output provides different formulae to predict the torsional strength of RC beams, characterized by different complexity and accuracy. ©Civil-Comp Press, 2011.

Evolutionary Polynomial Regression as an alternative way to predict the torsional strength of reinforced concrete beams / Fiore, A.; Berardi, L.; Avakian, J.; Marano, G. C.. - 97:(2011). (Intervento presentato al convegno 2nd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, CSC 2011 tenutosi a Chania, Crete, grc nel 2011).

Evolutionary Polynomial Regression as an alternative way to predict the torsional strength of reinforced concrete beams

Fiore A.
Conceptualization
;
Berardi L.;Avakian J.;Marano G. C.
2011-01-01

Abstract

In this paper a new view for the analytical formulation of the torsional ultimate strength for reinforced concrete (RC) beams by experimental data is explored by using a new hybrid regression method termed Evolutionary Polynomial Regression (EPR). EPR combines the best features of conventional numerical regression techniques with the effectiveness of genetic programming for constructing symbolic expressions of regression models. The efficiency of such approach is tested using experimental data of sixty-four rectangular RC beams reported in the technical literature. The procedure output provides different formulae to predict the torsional strength of RC beams, characterized by different complexity and accuracy. ©Civil-Comp Press, 2011.
2011
2nd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, CSC 2011
Evolutionary Polynomial Regression as an alternative way to predict the torsional strength of reinforced concrete beams / Fiore, A.; Berardi, L.; Avakian, J.; Marano, G. C.. - 97:(2011). (Intervento presentato al convegno 2nd International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, CSC 2011 tenutosi a Chania, Crete, grc nel 2011).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/263103
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