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Information and Communication Technology for Intelligent Systems pp 409–416Cite as

Mathematical Modeling of Gradually Varied Flow with Genetic Programming: A Lab-Scale Application

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 106))

Abstract

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.

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Acknowledgements

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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Authors and Affiliations

  1. Center for Water Technology, Department of Civil Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, 626126, Tamil Nadu, India

    Chandrasekaran Sivapragasam, Poomalai Saravanan, Kaliappan Ganeshmoorthy, Atchutha Muhil, Sundharamoorthy Dilip & Sundarasrinivasan Saivishnu

Authors
  1. Chandrasekaran Sivapragasam
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  2. Poomalai Saravanan
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  3. Kaliappan Ganeshmoorthy
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  4. Atchutha Muhil
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  5. Sundharamoorthy Dilip
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  6. Sundarasrinivasan Saivishnu
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Corresponding author

Correspondence to Poomalai Saravanan .

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Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India

    Suresh Chandra Satapathy

  2. Sabar Institute of Technology, Gujarat Technological University, Ahmedabad, Gujarat, India

    Amit Joshi

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Sivapragasam, C., Saravanan, P., Ganeshmoorthy, K., Muhil, A., Dilip, S., Saivishnu, S. (2019). Mathematical Modeling of Gradually Varied Flow with Genetic Programming: A Lab-Scale Application. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_40

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