Prediction of end-depth ratio in open channels using genetic programming
Author(s) -
Soroosh Sharifi,
Mark Sterling,
Donald W. Knight
Publication year - 2010
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2010.087
Subject(s) - gene expression programming , genetic programming , expression (computer science) , channel (broadcasting) , selection (genetic algorithm) , open channel flow , flow (mathematics) , computer science , algorithm , mathematical optimization , mathematics , geometry , artificial intelligence , telecommunications , programming language
In this paper, genetic programming (GP) is used as an effective model induction tool to solve a classic problem in open channel flow: the free overfall. By applying GP to experimental data of circular channels with a flat bed and employing a model selection procedure, a reliable expression in the form of is found for calculating the critical depth ( h c ) and end-depth ratio (EDR). Further effort is made to verify the applicability and superiority of this expression for channels with other cross sections. This global expression not only outperforms other expressions in estimating the critical depth, it is also dimensionally correct (unlike some other applications of GP) and can be used for channels with any cross-section and any flow regime.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom