INFLUENCE OF FABRICS LAYERS ON STRENGTHENED REINFORCED CONCRETE SHORT CORBELS
Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.5, No. 11)Publication Date: 2014-11-29
Authors : IVELINA IVANOVA; JULES ASSIH; ALEX LI; YVES DELMAS;
Page : 33-43
Keywords : Iaeme Publication; IAEME; Civil; Engineering; IJCIET; Abutments; Artificial Intelligence; Cohesive soil; Gene Expression Programming; Scour;
Abstract
The scour modelling in cohesive beds is relatively more complex than that in sandy beds and thus there is limited number of studies available o n local scour at bridge abutments on cohesive sediment. Recently, a good progress has been made i n the development of data-driven techniques based on artificial intelligence (AI). It has been reported that AI-based inductive modelling techniques are frequently used to model complex process due to their powerful and non-linear model structures and their increased capabilities to capture the cause and effect relationship of such complex processes. Gene Expression Programming (GEP ) is one of the AI techniques that have emerged as a powerful tool in modelling complex phenomenon into simpler chromosomal architecture.
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