Technical Notes
Oct 18, 2016

Seismic Reliability–Based Multiobjective Design of Water Distribution System: Sensitivity Analysis

Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 2

Abstract

This study proposes a seismic reliability–based water distribution system (WDS) optimal design model that minimizes total cost and maximizes seismic reliability. Here, seismic reliability is defined as the ratio of the available quantity of water to the required demand under stochastic earthquake events. A new evaluation model is used to assess seismic reliability, while a multiobjective harmony search (MOHS) based on a ranking approach is used for optimization. The Anytown network was modified for the demonstration of the proposed method. First, this study performs the sensitivity analysis of MOHS parameter values [i.e., harmony search consideration rate (HMCR) and pitch adjustment rate (PAR)] to identify the best parameter set in a pipe-sizing problem of an Anytown network. Then, Pareto optimal solutions with three different tank configurations are obtained and compared with respect to the final Pareto fronts and the system designs. For the sensitivity analysis, it reveals that higher PAR and lower HMCR values are also required to maintain high searchability in a multiobjective (MO) framework. In addition, Pareto-optimal solutions found for networks with tanks dominated those found for those without tanks.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIP) (No. 2016R1A2A1A05005306).

References

Cullinane, M., Lansey, K., and Mays, L. (1992). “Optimization-availability-based design of water-distribution networks.” J. Hydraul. Eng., 118(3), 420–441.
Deb, K., Agrawal, S., Pratap, A., and Meyarivan, T. (2000). “A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II.” Lect. Notes Comput. Sci., 1917, 849–858.
Fonseca, C. M., and Fleming, P. J. (1998). “Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I: A unified formulation.” IEEE Trans. Syst., Man Cybern., A: Syst. Humans, 28(1), 26–37.
Geem, Z. W. (2006). “Optimal cost design of water distribution networks using harmony search.” Eng. Optim., 38(3), 259–277.
Geem, Z. W. (2009). “Harmony search optimisation to the pump-included water distribution network design.” Civ. Eng. Environ. Syst., 26(3), 211–221.
Geem, Z. W., Kim, J. H., and Loganathan, G. V. (2001). “A new heuristic optimization algorithm: Harmony search.” Simulation, 76(2), 60–68.
Giustolisi, O., Laucelli, D., and Colombo, A. (2009). “Deterministic versus stochastic design of water distribution networks.” J. Water Resour. Plann. Manage., 117–127.
Goulter, I. (1995). “Analytical and simulation models for reliability analysis in water distribution systems.” Improving efficiency and reliability in water distribution systems, E. Cabrera and A. F. Vela, eds., Kluwer Academic, London, 235–266.
Jung, D., Kang, D., Kim, J., and Lansey, K. (2014). “Robustness-based design of water distribution systems.” J. Water Resour. Plann. Manage., .
Kim, J. H., Chung, G., and Yoo, D. G. (2010). “Calibration of C-Town network using harmony search algorithm.” Proc., Water Distribution Systems Analysis 2010, Tucson, AZ.
Kim, J. H., Geem, Z. W., and Kim, E. S. (2001). “Parameter estimation of the nonlinear Muskingum model using harmony search.” J. Am. Water Resour. Assoc., 37(5), 1131–1138.
Lansey, K., Duan, N., Mays, L., and Tung, Y. (1989). “Water distribution system design under uncertainty.” J. Water Resour. Plann. Manage., 630–645.
Nekooei, K., Farsangi, M. M., Nezamabadi-Pour, H., and Lee, K. Y. (2013). “An improved multi-objective harmony search for optimal placement of DGs in distribution systems.” IEEE Trans. Smart Grid, 4(1), 557–567.
Pavelski, L. M., Almeida, C. P., and Gonçalves, R. (2012). “Harmony search for multi-objective optimization.” 2012 Brazilian Symp. on Neural Networks (SBRN), IEEE, New York.
REVAS.NET [Computer software]. Korea Univ., Seoul.
Ricart, J., Hüttemann, G., Lima, J., and Barán, B. (2011). “Multiobjective harmony search algorithm proposals.” Electron. Notes Theor. Comput. Sci., 281, 51–67.
Rossman, L. A. (2000). “EPANET 2 user’s manual.” U.S. Environmental Protection Agency, Cincinnati.
Savic, D. A., and Walters, G. A. (1997). “Genetic algorithms for least-cost design of water distribution networks.” J. Water Resour. Plann. Manage., 67–77.
Sivasubramani, S., and Swarup, K. S. (2011). “Environmental/economic dispatch using multi-objective harmony search algorithm.” Electr. Power Syst. Res., 81(9), 1778–1785.
Tan, R., and Shinozuka, M. (1982). “Optimization of underground water transmission network systems under seismic risk.” Soil Dyn. Earthquake Eng., 1(1), 30–38.
Todini, E. (2000). “Looped water distribution networks design using a resilience index-based heuristic approach.” Urban Water J., 2(2), 115–122.
Walski, T., et al. (1987). “Battle of the network models: Epilogue.” J. Water Resour. Plann. Manage., 191–203.
Xu, C., and Goulter, C. (1999). “Reliability-based optimal design of water distribution networks.” J. Water Resour. Plann. Manage., 352–362.
Yoo, D., Jung, D., Kang, D., Kim, J., and Lansey, K. (2016a). “Seismic hazard assessment model for urban water supply networks.” J. Water Resour. Plann. Manage., .
Yoo, D., Kang, D., and Kim, J. (2016b). “Seismic-reliability-based optimal layout of water distribution network.” Reliab. Eng. Syst. Safe, 146(2), 79–88.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 143Issue 2February 2017

History

Received: Nov 27, 2015
Accepted: Aug 16, 2016
Published online: Oct 18, 2016
Published in print: Feb 1, 2017
Discussion open until: Mar 18, 2017

Permissions

Request permissions for this article.

Authors

Affiliations

Do Guen Yoo [email protected]
Senior Researcher, Software Center, Dept. of Software Development and Engineering, K-Water Research Institute, Korea Water Resources Corporation, 200 Sintangin-Ro, Daedeok-Gu, Daejeon 34350, Korea. E-mail: [email protected]
Donghwi Jung [email protected]
Research Professor, Research Center for Disaster Prevention Science and Technology, Korea Univ., Seoul 136-713, Korea. E-mail: [email protected]
Doosun Kang [email protected]
Professor, Dept. of Civil Engineering, Kyung Hee Univ., 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea. E-mail: [email protected]
Joong Hoon Kim [email protected]
Professor, School of Civil, Environmental and Architectural Engineering, Korea Univ., Anam-ro 145, Seongbuk-gu, Seoul 136-713, Korea (corresponding author). E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share