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• W2314755253 abstract "A genetic algorithm (GA) model can be helpful in locating leaks and incorrectly closed valves in a water system in addition to calibrating for pipe roughness. This paper provides some practical suggestions to help users collect the right quality and quantity of data, manage the GA runs, and interpret the results. Optimization techniques work by adjusting demands, locating leakage hotspots, and changing pipe roughness or valve status so that the model matches the field observations for flow and pressure. However, all field data is inaccurate to some extent. The first key to success is that it is necessary to have head loss in the system that is significantly greater than the error in measurement. Otherwise, adjustments to the model are essentially random. In many water distribution systems, the head loss from the boundary nodes to the measurement points is small, and thus extra head loss must be generated. The easiest way to accomplish this is by opening one or more hydrants such that the flow increases by a known amount. This magnifies the discrepancies between the model and field data and makes the model much more sensitive to changes in parameters. Even with these high flows, it is important to measure the resulting pressure and the elevation of the pressure gauge to a high degree of accuracy (and remember that the elevation of the gauge is not necessarily the elevation of the model node)." @default.
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• W2314755253 date "2014-05-29" @default.
• W2314755253 modified "2023-10-16" @default.
• W2314755253 title "What Does it Take to Make Automated Calibration Find Closed Valves and Leaks?" @default.
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• W2314755253 doi "https://doi.org/10.1061/9780784413548.059" @default.
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