Hydraulic Reliability Assessment and Optimal Rehabilitation/Upgrading Schedule for Water Distribution Systems
- 1 Faculty of Engineering, University of Regina, Regina, Canada
- 2 Faculty of Engineering, University of Regina, Regina, Canada
Abstract
This paper develops an innovative approach to optimize a long-term rehabilitation and upgrading schedule (RUS) for a water distribution system with considering both hydraulic failure and mechanical performance failure circumstances. The proposed approach assesses hydraulic reliability dynamically and then optimizes the long-term RUS in sequence for a water distribution system. The uncertain hydraulic parameters are treated as random numbers in a stochastic hydraulic reliability assessment. The methodologies used for optimization in a stochastic environment are: Monte Carlo Simulation, EPANET Simulation, Genetic Algorithms, Shamir and Howard’s Exponential Model, Threshold Break Rate Model and Two-Stage Optimization Model. The proposed approach is conducted on a simulation model of water distribution network in a computer by two universal codes, namely the hydraulic reliability code and the optimal RUS code. The applicability of this approach is verified in an example of a benchmark water distribution network.
- Prasad, T.D. and Park, N.-S. (2004) Multi-Objective Genetic Algorithms for Design of Water Distribution Networks. Journal of Water Resources Planning and Management (ASCE), 130, 73-82. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:1(73)
- Mays, L.W. (1996) Review of Reliability Analysis of Water Distribution Systems. Stochastic Hydraulics ’96, Balkema, Rotterdam, 53-62.
- Goulter, I. (1995) Analytical and Simulation Models for Reliability Analysis in Water Distribution Systems. In: Cabrera, E. and Vela, A., Eds., Improving Efficiency and Reliability in Water Distribution Systems, Kluwer Academic Publishers, Dordrecht, 235-266. https://doi.org/10.1007/978-94-017-1841-7_10
- Cullinan, M.J. (1989) Methodologies for the Evaluation of Water Distribution System Reliability/Availability. Thesis Presented to the Department of Civil Engineering, University of Texas, Austin.
- Peng, W. and Mayorga, R.V. (2008) Assessing Traffic Noise Impact Based on Probabilistic and Fuzzy Approaches under Uncertainty. Stochastic Environmental Research and Risk Assessment, 22, 541-550. https://doi.org/10.1007/s00477-007-0173-7
- Bao, Y. and Mays, L.M. (1990) Model for Water Distribution System Reliability. Journal of Hydraulic Engineering, 116, 1119-1137. https://doi.org/10.1061/(ASCE)0733-9429(1990)116:9(1119)
- Madsen, H.O., Krenk, S. and Lind, N.C. (1986) Methods of Structural Safety. Prentice-Hall, Englewood Cliffs.
- Xu, C. and Goulter, I.C. (1998) Probabilistic Model for Water Distribution Reliability. Journal of Water Resources Planning and Management, 124, 218-228. https://doi.org/10.1061/(ASCE)0733-9496(1998)124:4(218)
- EPANET (2008) Hydraulic Simulation Software. https://www.epa.gov/water-research/epanet
- Quiondry, Q.E., Liebman, J.C. and Brill, E.D. (1981) Optimization of Looped Water Distribution Systems. Journal of Environmental Engineering Division, 107, 665-679.
- Lansey, K.E., Duan, N. and Mays, L.W. (1989) Water Distribution System Design under Uncertainties. Journal of Water Resources Planning and Management (ASCE), 115, 630-644. https://doi.org/10.1061/(ASCE)0733-9496(1989)115:5(630)
- Tolson, B.A., Maier, H.R., Simpson, A.R. and Lence, B.J. (2004) Genetic Algorithms for Reliability-Based Optimization of Water Distribution Systems. Journal of Water Resources Planning and Management (ASCE), 130, 63-72. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:1(63)