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P.S.F. Barbosa, A.P. Graciano, "Optimal Design of Hydraulic Networks for Water Supply", in B.H.V. Topping, (Editor), "Developments in Civil & Construction Engineering Computing", Civil-Comp Press, Edinburgh, UK, pp 197-202, 1993. doi:10.4203/ccp.15.8.2

Abstract

This paper deals with the problem of optimum design of a branched network for water supply. Besides to provide a software for automatic calculations, the methodology allows to minimize costs of the pipeline system, which constitutes the main cost of a gravity system. All technical factors are considered in formulation: minimum pressure heads, maximum velocities, continuity equations, etc. The optimization problem was formulated through a nonlinear programming technique, solved by means a Projected Lagrangian Algorithm. The proposed methodology was evaluated in a part of a real network. The results of this application shows a good performance of the model.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 15 DEVELOPMENTS IN CIVIL & CONSTRUCTION ENGINEERING COMPUTING Edited by: B.H.V. Topping Paper VIII.2 Optimal Design of Hydraulic Networks for Water Supply P.S.F. Barbosa and A.P. Graciano Deparment of Civil Engineering, UNICAMP, Brazil doi:10.4203/ccp.15.8.2 purchase the full-text of this paper Full Bibliographic Reference for this paper P.S.F. Barbosa, A.P. Graciano, "Optimal Design of Hydraulic Networks for Water Supply", in B.H.V. Topping, (Editor), "Developments in Civil & Construction Engineering Computing", Civil-Comp Press, Edinburgh, UK, pp 197-202, 1993. doi:10.4203/ccp.15.8.2 Abstract This paper deals with the problem of optimum design of a branched network for water supply. Besides to provide a software for automatic calculations, the methodology allows to minimize costs of the pipeline system, which constitutes the main cost of a gravity system. All technical factors are considered in formulation: minimum pressure heads, maximum velocities, continuity equations, etc. The optimization problem was formulated through a nonlinear programming technique, solved by means a Projected Lagrangian Algorithm. The proposed methodology was evaluated in a part of a real network. The results of this application shows a good performance of the model. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £55 +P&P)
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