Mathematical Modeling of Gradually Varied Flow with Genetic Programming: A Lab-Scale Application
This study suggests how research interest can be inculcated in the undergraduate students, and advanced knowledge can be mined by extending the scope of the conventional experiments that students study in their curriculum through the use of ICT-based modeling tools. The experiment on flow over rectangular notch experiment of the Civil Engineering curriculum is taken. Conventionally, the objective of the experiment is to find the coefficient of discharge for the notch. However, here an attempt is made to redefine the objectives beyond the scope of the curriculum by modeling the flow profile past the notch. In the presence of the notch, the flow behavior gets modulated. The application of genetic programming results in a new research finding and is found to be highly useful to draw an insightful understanding of the process being studied. This study is also important in dissemination of importance of use of such data mining methods and promoting interdisciplinary research from the early stage of engineering education.
KeywordsInculcating research aptitude Genetic programming Flow over notch Fluid mechanics Gradually varied flow
The authors would like to thank Mr. Vallamkonda Rakesh Ramayya and Mr. Rajesh Kumar Thangaia Viswanathan of Centre for Water Technology for their valuable help and support to complete the work.
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