Abstract The ogee-crested spillway is a passage in a dam through which the design flood could be disposed of safely to the downstream. Spillways of improper design or insufficient capacities have caused failures of dams. Therefore, the spillway must be hydraulically and structurally adequate. This paper presents Gene-Expression Programming (GEP) models as an alternative approach to prediction of design coefficients in ogee-crested spillway structure. New formulations for prediction of design coefficient are developed using GEP and regression models. The performance of GEP was found to be satisfactory and encouraging when compared with regression model in predicting of design coefficient. This capability of GEP makes it unique and more effective when compared with regression models evaluated in this paper. The superior performance of GEP is attributed to the powerful Artificial Intelligence (AI) techniques for computer learning inspired by natural evolution to find the appropriate mathematical model (expression) to fit a set of fits. This study highlights the utility of AI-based models with a view to increase their usage by engineers and planners working on spillway design problems.
Computation of design coefficients in ogee-crested spillway structure using GEP and regression models
KSCE Journal of Civil Engineering ; 20 , 2 ; 951-959
2015-06-19
9 pages
Article (Journal)
Electronic Resource
English
Effect of low tailwater during drought on scour conditions downstream of an ogee spillway
HENRY – Federal Waterways Engineering and Research Institute (BAW) | 2010
|An application of the Ogee tip
NTRS | 1975
|Flight experience with the OGEE wing at low speed
AIAA | 1965
|