Abstract
This work proposes a new methodology for determination of cost effective river training work using groynes. The proposed methodology links the two dimensional (2D) hydrodynamic model with genetic algorithm based optimization model. The hydrodynamic model uses Beam and Warming implicit finite difference scheme for solution of the governing equations of unsteady free surface flows in general coordinate system. The optimization model minimizes the total construction cost of the groyne system required for achieving desirable training of the river. Binary coded GA is used for solving the proposed optimization problem. The efficiency and field applicability of the developed model is evaluated using two different test problems. The first problem considers a hypothetical meandering channel and the second problem deals with a vulnerable reach of river Brahmaputra in India. The performance evaluation of the model shows potential of the developed model for field application.
Keywords
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Kalita, H.M., Bhattacharjya, R.K., Sarma, A.K. (2020). Linked Simulation Optimization Model for Evaluation of Optimal Bank Protection Measures. In: Bennis, F., Bhattacharjya, R. (eds) Nature-Inspired Methods for Metaheuristics Optimization. Modeling and Optimization in Science and Technologies, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-030-26458-1_16
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