Predicting torsional strength of RC beams by using Evolutionary Polynomial Regression

Advances in Engineering Software

Volumn 47, Issue 1, 2012, Pages 178-187

  Fiore, Alessandra ^a   Berardi, Luigi ^a   Marano, Giuseppe Carlo ^a  

^a POLITECNICO DI BARI   (Italy)

Author keywords

Building code; Evolutionary Polynomial Regression; Reinforced concrete beam; Soft computing; Theoretical model; Torsional strength

Indexed keywords

CONCRETE BUILDINGS; GENETIC PROGRAMMING; MODELS; POLYNOMIALS; REGRESSION ANALYSIS; REINFORCED CONCRETE; REINFORCEMENT; SOFT COMPUTING;

ANALYTICAL FORMULATION; CONCRETE COMPRESSIVE STRENGTH; CROSS SECTIONAL AREA; EVOLUTIONARY POLYNOMIAL REGRESSION; EXISTING BUILDING; EXPERIMENTAL DATA; INPUT PARAMETER; LONGITUDINAL REINFORCEMENT; MATHEMATICAL EXPRESSIONS; MODELING PARADIGMS; MULTI OBJECTIVE; PHYSICAL MODEL; POLYNOMIAL REGRESSION; RC BEAMS; RC ELEMENTS; REGRESSION METHOD; REGRESSION MODEL; REGRESSION TECHNIQUES; REINFORCED CONCRETE BEAM; REINFORCED CONCRETE BEAMS; SYMBOLIC EXPRESSION; TECHNICAL LITERATURE; THEORETICAL MODELS; TORSIONAL STRENGTH; ULTIMATE STRENGTH;

BUILDING CODES;

EID: 84857196294     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2011.11.001     Document Type: Article

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