Augmented gradient method for head dependent modelling of water distribution networks

Calvin Siew, Tiku Tanyimboh

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)


When analysing a pressure deficient network, it is crucial that the pressure dependent nature of nodal outflows be taken into account. The head dependent analysis (HDA) produces an accurate representation of the nodal outflows and network hydraulic performance. This is essential when modelling pipe leakages, network redundancy and reliability. These are vital aspects often considered in the optimization of a water distribution system (WDS). This paper describes an approach for head dependent analysis in which an embedded function for the head-outflow relationship is incorporated in the Gradient Method (GM). The procedure is capable of simulating both normal and deficient network operating conditions effectively. Results based on networks from the literature show that the proposed method is robust and converges smoothly and rapidly.
Original languageEnglish
Title of host publicationWorld Environmental and Water Resources Congress 2009
Publication statusPublished - May 2009
EventWorld Environmental and Water Resources Congress 2009: Great Rivers - Kansas City, United States
Duration: 17 May 200921 May 2009


ConferenceWorld Environmental and Water Resources Congress 2009: Great Rivers
CountryUnited States
CityKansas City


  • head
  • outflow
  • computation
  • water distribution systems
  • fluid mechanics

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