1987•Hydraulic EngineeringRequires access

Model for the Optimal Rehabilitation and Replacement of Water Distribution System Components

John Woodburn, Kevin Lansey, Larry W. Mays

Open publisher page 22 citations

Abstract

The objective of the model presented is to determine the minimum cost solution, given the nonlinear nature of the equations required to describe the cost and the hydraulics of a water distribution system. The model proposed in this paper is based upon combining a nonlinear optimization procedure with a hydraulic simulation procedure determine which pipes of the water distribution system should be replaced, rehabilitated, or left alone to meet specified demands and pressures and to minimize costs.

About this research paper

What this paper is about

The objective of the model presented is to determine the minimum cost solution, given the nonlinear nature of the equations required to describe the cost and the hydraulics of a water distribution system. The model proposed in this paper is based upon combining a nonlinear optimization procedure with a hydraulic simulation procedure determine which pipes of the water distribution system should be replaced, rehabilitated, or left alone to meet specified demands and pressures and to minimize costs.

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OpenAlex reports 22 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The objective of the model presented is to determine the minimum cost solution, given the nonlinear nature of the equations required to describe the cost and the hydraulics of a water distribution system. The model proposed in this paper is based upon combining a nonlinear optimization procedure with a hydraulic simulation procedure determine which pipes of the water distribution system should be replaced, rehabilitated, or left alone to meet specified demands and pressures and to minimize costs.

Key concepts: Hydraulics, Nonlinear system, Distribution (mathematics), Hydrological modelling, Hydraulic machinery, Engineering, Mathematical optimization, Computer science

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