Abstract
A chance constrained model is presented for the minimum cost design of water distribution networks. This methodology attempts to account for the uncertainties in required demands, required pressure heads, and pipe roughness coefficients. The optimization problem is formulated as a nonlinear programming model which is solved using a generalized reduced gradient method. Details of the mathematical model formulation are presented along with example applications. Results illustrate that uncertainties in future demands, pressure head requirements, and pipe roughness can have significant effects on the optimal network design and cost.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 630-645 |
| Number of pages | 16 |
| Journal | Journal of Water Resources Planning and Management |
| Volume | 115 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1989 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Civil and Structural Engineering
- Management, Monitoring, Policy and Law
- Water Science and Technology
- Geography, Planning and Development
Cite this
Water distribution system design under uncertainties. / Lansey, Kevin E.; Duan, Ning; Mays, Larry; Tung, Yeou Koung.
In: Journal of Water Resources Planning and Management, Vol. 115, No. 5, 1989, p. 630-645.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Water distribution system design under uncertainties
AU - Lansey, Kevin E.
AU - Duan, Ning
AU - Mays, Larry
AU - Tung, Yeou Koung
PY - 1989
Y1 - 1989
N2 - A chance constrained model is presented for the minimum cost design of water distribution networks. This methodology attempts to account for the uncertainties in required demands, required pressure heads, and pipe roughness coefficients. The optimization problem is formulated as a nonlinear programming model which is solved using a generalized reduced gradient method. Details of the mathematical model formulation are presented along with example applications. Results illustrate that uncertainties in future demands, pressure head requirements, and pipe roughness can have significant effects on the optimal network design and cost.
AB - A chance constrained model is presented for the minimum cost design of water distribution networks. This methodology attempts to account for the uncertainties in required demands, required pressure heads, and pipe roughness coefficients. The optimization problem is formulated as a nonlinear programming model which is solved using a generalized reduced gradient method. Details of the mathematical model formulation are presented along with example applications. Results illustrate that uncertainties in future demands, pressure head requirements, and pipe roughness can have significant effects on the optimal network design and cost.
UR - http://www.scopus.com/inward/record.url?scp=0024737277&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0024737277&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)0733-9496(1989)115:5(630)
DO - 10.1061/(ASCE)0733-9496(1989)115:5(630)
M3 - Article
AN - SCOPUS:0024737277
VL - 115
SP - 630
EP - 645
JO - Journal of Water Resources Planning and Management - ASCE
JF - Journal of Water Resources Planning and Management - ASCE
SN - 0733-9496
IS - 5
ER -