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 - Sep 1989 |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Geography, Planning and Development
- Water Science and Technology
- Management, Monitoring, Policy and Law
Fingerprint Dive into the research topics of 'Water distribution system design under uncertainties'. Together they form a unique fingerprint.
Cite this
Lansey, K. E., Duan, N., Mays, L. W., & Tung, Y. K. (1989). Water distribution system design under uncertainties. Journal of Water Resources Planning and Management, 115(5), 630-645. https://doi.org/10.1061/(ASCE)0733-9496(1989)115:5(630)