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| 1 | GENETIC PROGRAMMING TO PREDICT SKI-JUMP BUCKET SPILLWAY SCOUR显示文摘Researchers in the past had noticed that application of Artificial Neural Networks (ANN) in place of conventional statistics on the basis of data mining techniques predicts more accurate results in hydraulic predictions. Mostly these works pertained to applications of ANN. Recently, another tool of soft computing, namely, Genetic Programming (GP) has caught the attention of researchers in civil engineering computing. This article examines the usefulness of the GP based approach to predict the relative scour depth downstream of a common type of ski-jump bucket spillway. Actual field measurements were used to develop the GP model. The GP based estimations were found to be equally and more accurate than the ANN based ones, especially, when the underlying cause-effect relationship became more uncertain to model. | AZAMATHULLA H. MD GHANI A. AB ZAKARIA N. A LAI S. H CHANG C. K LEOW C. S ABUHASAN Z | 2008 | Journal of Hydrodynamics2008，20，4： | 4 |
| 2 | Direct solution for discharge in circular free overfall显示文摘 | Ahmad Z Azamathulla H | 2012 | Journal of Hydrology2012，，： | 1 |
| 3 | Flow discharge prediction in compound channels using linear genetic programming显示文摘 | H.Md. Azamathulla A. Zahiri | 2012 | Journal of Hydrology2012，，： | 1 |
| 4 | Comparison between lineargenetic programming and M5 tree models to predict flowdischarge in compound channels显示文摘 | Zahiri A Azamathulla H M | 2014 | Neural Computing andApplications2014，24，2： | 1 |
| 5 | Gene expression programming for sediment transport in sewer pipe systems显示文摘 | Aminuddin Ab Ghani H Md Azamathulla M ASCE | 2010 | Pipeline Systems Engineering and Practice2010，12，： | 1 |
| 6 | Determination of optimum relaxation coefficient using finite difference method for groundwater flow 显示文摘 | F Salmasi H M Azamathulla | 2013 | Arabian Journal of Geosciences2013，8，： | 1 |
| 7 | Gene expression programming for transverse mixing coefficient显示文摘 | Azamathulla H M Ahmad Z | 2012 | Journal of Hydrology2012，，： | 1 |
| 8 | Development of GEP-based functional relationship for sediment transport in tropical rivers显示文摘 | Ghani A A Azamathulla H M | 2014 | Neural Comput&Applic2014，24，： | 1 |
| 9 | Use of Gene-expression Programming to Estimate Manning ’ s Roughness Coefficient for High Gradient Streams 显示文摘 | Azamathulla H M Jarrett R D | 2013 | Water Resources Management2013，27，3： | 1 |
| 10 | Gene expression programming for prediction of scour depth downstream of sills显示文摘 | AZAMATHULLA H M | 2012 | Journal of Hydrology2012，460，： | 1 |
| 11 | Gene-expression programming for the development of a stage-discharge curve of the Pahang River显示文摘 | AZAMATHULLA H M GHANI A A LEOW C S | 2011 | Water Resources Management2011，25，11： | 1 |
| 12 | Use of gene-expression programming to esti- mate manning' s roughness coefficient for high gradient streams 显示文摘 | Azamathulla Robert | 2013 | Water Resources Management2013，27，3： | 1 |
| 13 | Flow Simulation For Lake Harapan Using CCHE2D-A Case Study显示文摘 | Hasan Z A Kah H L Azamathulla H Md | | 0，，： | 1 |
| 14 | An expert system for predicting manning' s roughness coefficient in open channels by using gene expression programming 显示文摘 | Azamathulla H Md Ahmad Z Ab Ghani Aminuddin | 2013 | Neural Com- put & Applic2013，23，5： | 1 |
| 15 | A CFD Model to Evaluate Near-Surface Oil Spill from a Broken Loading Pipe in Shallow Coastal Waters显示文摘Oil spills continue to generate various issues and concerns regarding their effect and behavior in the marine environment,owing to the related potential for detrimental environmental,economic and social implications.It is essential to have a solid understanding of the ways in which oil interacts with the water and the coastal ecosystems that are located nearby.This study proposes a simplified model for predicting the plume-like transport behavior of heavy Bunker C fuel oil discharging downward from an acutely-angled broken pipeline located on the water surface.The results show that the spill overall profile is articulated in three major flow areas.The first,is the source field,i.e.,a region near the origin of the initial jet,followed by the intermediate or transport field,namely,the region where the jet oil flow transitions into an underwater oil plume flow and starts to move horizontally,and finally,the far-field,where the oil re-surface and spreads onto the shore at a significant distance from the spill site.The behavior of the oil in the intermediate field is investigated using a simplified injection-type oil spill model capable of mimicking the undersea trapping and lateral migration of an oil plume originating from a negatively buoyant jet spill.A rectangular domain with proper boundary conditions is used to implement the model.The Projection approach is used to discretize a modified version of the Navier-Stokes equations in two dimensions.A benchmark fluid flow issue is used to verify the model and the results indicate a reasonable relationship between specific gravity and depth as well as agreement with the aerial data and a vertical temperature profile plot. | Portia Felix Lee Leon Derek Gay Stefano Salon Hazi Azamathulla | 2024 | Fluid Dynamics & Materials Processing2024，20，1： | 0 |
| 16 | Environmental and Social Impacts of Mini-hydropower Plants--A Case Study from Sri Lanka显示文摘 | Prasad G. Senarath Bhabishya Khaniya Nilushi Baduge Hazi Md. Azamathulla Upaka Rathnayake | 2017 | Journal of Civil Engineering and Architecture2017，11，12： | 0 |
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