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Majid Heydari

Majid Heydari

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 55196125700
HIndex:
Faculty: Faculty of Agriculture
Address:
Phone: 08134424189

Research

Title
Combination of gradually varied flow theory and simulated annealing optimization in of manning roughness coefficient
Type
JournalPaper
Keywords
Manning roughness , Simulated annealing algorithm , Gradually varied flow , Nonlinear optimization
Year
2018
Journal Journal of Applied Research in Water and Wastewater
DOI
Researchers Majid Heydari ، Jalal sadeghian ، Milad faridnia ، saeid shabanlou

Abstract

Manning roughness coefficient is one of the most important parameters in designing water conveyance structures. Unsuitable selection of this coefficient brings up some mistakes. This research aims to present a method to determine the Manning roughness coefficient based on a combination of optimization algorithm of simulated annealing (SA) with gradually varied flow equations. Therefore, in a lab rectangular flume of 12 m, 60 cm and 65 cm in length, width and height with fixed channel bed slope of 0.0002, nine series of water level profiles were carried out. Then, an objective function based on observed and calculated water level gradient was defined to decide on manning roughness coefficient while it was minimized with simulated annealing optimization method. The values of objective function parameters were discussed by sensitivity analysis and the most optimal objective function was obtained. To measure the accuracy of coefficient obtained, Statistics indices of R2, Root mean square error (RMSE), Mean bias error (MBE), d were used. The results showed that manning roughness coefficient has a great accuracy.