Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Estimation of Design Shear Strength of Concrete Using Genetic Programming
Many codes provide empirical formulation for design shear strength of concrete which greatly vary from code to code. Moreover, many investigations into the shear problem that have been carried out have led to numerous empirical or semi-empirical formulae. These formulae usually agree quite well with the corresponding test result but not applicable for general use. The researchers have made use of experimental data set or analytical data set obtained from nonlinear finite element analysis. The equations are derived using nonlinear regression technique in which the form of the equation is required to be initially assumed. The present study investigates the application genetic programming (GP) in predicting the design shear strength of concrete. It is concluded that the values obtained by the equations derived from GP models estimate the design shear strength of concrete fairly close to the actual values.
Estimation of Design Shear Strength of Concrete Using Genetic Programming
Many codes provide empirical formulation for design shear strength of concrete which greatly vary from code to code. Moreover, many investigations into the shear problem that have been carried out have led to numerous empirical or semi-empirical formulae. These formulae usually agree quite well with the corresponding test result but not applicable for general use. The researchers have made use of experimental data set or analytical data set obtained from nonlinear finite element analysis. The equations are derived using nonlinear regression technique in which the form of the equation is required to be initially assumed. The present study investigates the application genetic programming (GP) in predicting the design shear strength of concrete. It is concluded that the values obtained by the equations derived from GP models estimate the design shear strength of concrete fairly close to the actual values.
Estimation of Design Shear Strength of Concrete Using Genetic Programming
Lecture Notes in Civil Engineering
Gupta, Laxmikant Madanmanohar (Herausgeber:in) / Ray, Maya Rajnarayan (Herausgeber:in) / Labhasetwar, Pawan Kumar (Herausgeber:in) / Namjoshi, Preeti (Autor:in) / Joshi, Shardul (Autor:in)
Advances in Civil Engineering and Infrastructural Development ; Kapitel: 66 ; 675-687
14.11.2020
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Design shear strength , Genetic programming , Reinforced concrete Engineering , Transportation Technology and Traffic Engineering , Building Materials , Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution , Sustainable Architecture/Green Buildings , Landscape/Regional and Urban Planning , Water Quality/Water Pollution
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