Modeling Length of Hydraulic Jump on Sloping Rough Bed using Gene Expression Programming

Pasandideh, I; Rajabi, A.; Yosefvand, F.; Shabanlou, S.

doi:10.22044/jadm.2020.7444.1886

Document Type : Original/Review Paper

Authors

Department of Water Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.

https://doi.org/10.22044/jadm.2020.7444.1886

Abstract

Generally, length of hydraulic jump is one the most important parameters to design stilling basin. In this study, the length of hydraulic jump on sloping rough beds was predicted using Gene Expression Programming (GEP) for the first time. The Monte Carlo simulations were used to examine the ability of the GEP model. In addition, k-fold cross validation was employed in order to verify the results of the GEP model. To determine the length of hydraulic jump, five different GEP models were introduced using input parameters. Then by analyzing the GEP models results, the superior model was presented. For the superior model, correlation coefficient (R), Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) were computed 0.901, 11.517 and 1.664, respectively. According to the sensitivity analysis, the Froude number at upstream of hydraulic jump was identified as the most important parameter to model the length of hydraulic jump. Furthermore, the partial derivative sensitivity analysis (PDSA) was performed. For instance, the PDSA was calculated as positive for all input variables.

Keywords

References

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Journal of AI and Data Mining

Modeling Length of Hydraulic Jump on Sloping Rough Bed using Gene Expression Programming

References

References

Volume 8, Issue 4
November 2020
Pages 535-544

Modeling Length of Hydraulic Jump on Sloping Rough Bed using Gene Expression Programming

References

References

Volume 8, Issue 4November 2020Pages 535-544

Volume 8, Issue 4
November 2020
Pages 535-544