Singh, H K (2014) Prediction of shear strength of deep beam using genetic programming. BTech thesis.
This research project consists of Genetic Programming (GP) to predict an empirical model for the convoluted non-straight relation between distinct parameters related with Reinforced Concrete (RC) deep beam and its ultimate shear capacity. It is a manifestation of artificial intelligence and thoughts, which is focused around the Darwinian hypothesis of evolution and genetics. The structural and size intricacy of the empirical model advances as a component of the prediction. Model evaluated by GP is developed specifically from experimental database accessible from prior literature. The legitimacy of the acquired model is analyzed by comparing the GP response and the shear capacity ascertained according to distinctive design codes. The created model produced is utilised for study of relationship between the shear strength of deep beam and its distinct influencing parameters.
|Item Type:||Thesis (BTech)|
|Uncontrolled Keywords:||Genetic Programming (GP), Deep beam, Shear strength, GPTIPS|
|Subjects:||Engineering and Technology > Civil Engineering > Structural Engineering|
|Divisions:||Engineering and Technology > Department of Civil Engineering|
|Deposited By:||Hemanta Biswal|
|Deposited On:||27 Aug 2014 10:48|
|Last Modified:||27 Aug 2014 10:48|
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