https://orcid.org/0000-0003-4518-3851
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ABSTRACT
At times, various analytical and empirical approaches used to estimate the initial sizing of a desilting basin in a hydropower project would give very different results and the designer has to take a call judiciously. The purpose of this study is to develop a monograph based on Teaching–Learning-Based Optimization and Gravitational Search algorithm for a practical range of depth of desilting basins. The parameters commonly used in hydropower projects for estimation of desilting basins sizing and its efficiency are used in this study. The outcome is further verified using a list of mega hydropower projects. This study will be useful in fixing the best optimized dimension of desilting basins.
Notation
| a | = | constant |
| A | = | desilting basin plan area (m2) |
| Ax | = | desilting basin cross sectional area (m2) |
| b | = | approach channel width (m) |
| B | = | desilting basin width (m) |
| d | = | sediment particle size to be removed (mm) |
| D | = | depth of flow (m) |
| g | = | acceleration due to gravity (m s−2) |
| h | = | flow depth in approach channel (m) |
| k | = | Von Karman universal constant (-) |
| L | = | length of desilting basin (m) |
| n | = | Manning`s rugosity coefficient (s m−1/3) |
| η | = | efficiency of removal of sediments (-) |
| ηd | = | efficiency with flushing (-) |
| Q | = | Desilting basin design discharge (m3s−1) |
| Qf | = | Flushing discharge (m3s−1) |
| R | = | hydraulic radius of desilting basin (m) |
| U | = | forward velocity (m s−1) |
| u* | = | shear velocity (m s−1) |
| w | = | settling Velocity (m s−1) |
| we | = | effective fall velocity (m s−1) |
| w` | = | reduction in fall velocity (m s−1) |