Abstract
Abstract A semi-analytical methodology has been developed for use in calibrating hydraulic network models under multiple demand loading conditions. The resulting algorithm is able to correlate the observed and predicted pressures through the use of global headloss adjustment factors. The proposed algorithm is shown to be computationally efficient and guaranteed to yield a converged solution in an expeditious manner.
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