Salman, Alaa (2011) Reliability-Based Management of Water Distribution Networks. PhD thesis, Concordia University.
|PDF (Reliability-Based Management of Water Distribution Networks ) - Accepted Version|
Reliability-Based Management of Water Distribution Networks
Alaa Salman, Ph.D.
Concordia University, 2011
Canada’s civil infrastructure systems have been in use for over 79 % of their expected service life. Municipalities in Canada have noted that 59% of their water systems needed repair and the condition of 43% of these systems is unacceptable. Therefore, a significant volume of rehabilitation projects are necessary to improve infrastructure performance. Reliability and criticality
assessments (RCA) as well as the ability to determine the most suitable methods of rehabilitation are urgently needed in order to allocate the available budget efficiently. The research presented in this thesis aims at developing a priority index (PI) for intervention that considers the combination of RCA for water networks. Sound techniques are utilized to develop the PI such as reliability theory, simple multi-attribute rating technique (SMART), and Analytical Hierarchy Process (AHP).
The reliability assessment encompasses two levels: (1) segment and (2) subnetwork reliabilities. The priority index (PI) for intervention is crucial to schedule
segment rehabilitation. Simple Multi Attribute Rating Technique (SMART) is used to select the most suitable methods of rehabilitation for these components.
Selection of a rehabilitation method is based on several factors: (1) technical feasibility, (2) whether the selection is contractually acceptable, (3) cost
iv effectiveness, (4) environmental impact, and (5) whether the rehabilitation method is a new technology or not. The output of rehabilitation selection model is the method of rehabilitation for components coupled with the associated costs and durations for rehabilitation activities for each sub-network. The final stage of this research is to schedule these rehabilitation activities. Scheduling of the rehabilitation activities related to water main networks depends mainly on available budget and planning time. Other factors, such as network reliability, criticality, location, contract size, and rehabilitation method(s), also
affect the scheduling process. This research presents a method for optimizing the scheduling of rehabilitation
work for water distribution networks. The method utilizes unsupervised neural networks (UNNs) and Mixed Integer Non Linear Programming (MINLP) and performs the scheduling in two stages. In the first stage, UNNs are used to group
water mains according to their locations and rehabilitation methods. In the second stage, MINLP is used to determine the number of rehabilitation contract packages and to generate an optimized schedule based on these packages
considering network reliability, criticality, contract size, and planning time. Data on water network are collected from the city of Hamilton, Ontario, Canada. Four
sub-networks are selected randomly from the entire network to represent four types of land use; undeveloped, residential, park, and commercial/industrial. The
data is used as a test bed to validate and demonstrate the use of the developed research methodology. An automated tool (DSSWATER), based on the developed methodology, is developed to assist users and decision makers. The
developed models and tools are expected to be beneficial to municipal engineers and managers as well as to academics.
|Divisions:||Concordia University > Faculty of Engineering and Computer Science > Building, Civil and Environmental Engineering|
|Item Type:||Thesis (PhD)|
|Degree Name:||Ph. D.|
|Date:||15 September 2011|
|Thesis Supervisor(s):||Moselhi, Osama and Zayed, Tarek|
|Keywords:||Reliability, Criticality, Water Distribution Networks, AHP, SMART, MINLP, and Optimized Schedule|
|Deposited By:||ALAA SALMAN|
|Deposited On:||21 Nov 2011 15:25|
|Last Modified:||21 Nov 2011 15:25|
|Additional Information:||Sorry, I don't know the name of the chair of my committee. I left it blank. Thanks. Alaa Salman (firstname.lastname@example.org)|
Al-Aghbar A. (2005). “Automated Selection of Trenchless Technology for Rehabilitation of Water Mains.” M.A.Sc. Thesis, Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Canada.
Al Barqawi, H.; and Zayed, T. (2006). “Condition Rating Models for Underground Infrastructure: Sustainable Water Mains.” Journal of Performance of Constructed Facilities, v 20, n 2, pp 126-135.
Al-Battaineh, H.; and AbouRizk, S. (2005). “Optimization of Infrastructure Rehabilitation Schedule Using Genetic Algorithms.” CSCE, 6th Construction Specialty Conference, June, pp.CT120,1-CT120,7.
ArcMap, (2008). “Reference Manual.” ESRI, Redlands, CA, USA.
Australian Department of Environment and Resource Management (2010). “Planning Guidelines for Water Supply and Sewerage.” Office of the Water Supply Regulator, Brisbane, Australia.
Australian National Audit Office, (2010). “Better Practice Guide on the Strategic and Operational Management of Assets by Public Sector Entities.” Better Practice Guide, Australia, September (2010).
Atalah, A., Chang-Jin, C., and Osburn, K. (2002). “Comparison study of installing fiber optic in university campuses using trenchless techniques relative to open
cut.” Pipelines 2002, 4–7 August, Cleveland, OH, USA.
Alvisi, S.; and Franchini, M. (2006). “Near-Optimal Rehabilitation Scheduling of Water Distribution Systems Based on A Multi-Objective Genetic Algorithm.” Journal of Civil Engineering and Environmental Systems, Vol. 23, No. 3,
September, pp. 143–160.
Backer, D. et al. (2001). "Guidebook to Decision-Making Methods." Department of Energy, USA. (http://emi-web.inel.gov/Nissmg/Guidebook_2002.pdf).
Billinton, R.; and Allan,R. (1983). “Reliability Evaluation of Engineering Systems.” Plenum Press, NY, USA.
Boyd, Stephen and Vandenberghe, Lieven (2004). “Convex Optimization.” Cambridge University Press, New York, USA
Bussieck, M. and Pruessner, A. (2003). “ Mixed-Integer Nonlinear Programming.“ (http://www.gamsworld.org/minlp/siagopt.pdf), April 1, 2011.
Canadian Environment Protection Act (1999). “CEPA- 1999(c.33).” (http://www.parl.gc.ca/39/2/parlbus/commbus/senate/com-e/enrge/ repe/rep06mar08 -e.htm).
Canter, L., W. (1996). “Environmental impact assessment.” McGraw-Hill, NY, USA.
City of Hamilton website (2010), http://www.hamilton.ca/CityDepartments/PublicWorks/WaterAndWasteWaterDev/
Cullinane, J. (1989). “Determining availability and reliability for water distribution systems.” Reliability Analysis of Water Distribution Systems, Part 1: State of-the-Art, pp. 190-224
Dandy, G.; and Engelhardt, M. (2001). “Optimal Scheduling of Water Pipe Replacement Using Genetic Algorithms.” ASCE-Journal of water resources planning and management, July/ August, pp.214-223.
Earl, M. and Raffaello D’Andrea, R. (2005). “Iterative MILP Methods for Vehicle- Control Problems.” IEEE Transactions on Robotics, Vol. 21, No. 6, December, 2005.
Fausett, L. (1994). “Budget amentals of Neural Networks.” Prentice-Hall, Inc., Englewood Cliffs, New Jersey, USA.
Fahmy, M., and Moselhi, O. (2008) “Discussion of “Prediction of Water Pipe Asset Life Using Neural Networks: by D. Achim, F. Ghotb, and K. J. McManus”, ASCE-Journal of Infrastructure Systems, September, pp.272-273
Fahmy, M. (2010). “Integrated Multiple-Sensor Methodology for Condition Assessment of Water Mains”, Ph.D. Thesis, Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Canada.
Geem, Z. (2003). “Window- Based Decision Support System for the Water Pipe Condition Assessment using Artificial Neural Network.” ASCE-Conference Proceeding, World Water and Environmental Resources Congress.
Govil, K. (1983). “Reliability Engineering.” Tata McGraw-Hill, New Delhi, India.
Grablutz, F.; and Hanneken, S. (2000). "Economic Modeling for Prioritizing Pipe Replacement Program." St Louis County Water Company, USA.
Halhal, D. et al. (1999). “Scheduling of Water Distribution System Rehabilitation Using Structured Messy Genetic Algorithms.” Massachusetts Institute of Technology, Evolutionary Computation 7(3), pp.311-329.
Hadzilacos et al. (2000). “UtilNets: a water mains rehabilitation decision- support system.” Journal of Computers, Environment and Urban Systems, Vol.24,
Harbuck, R. (2000). “Economic Evaluation of Trenchless Technology.” AACE International Transaction, Risk 12.1- 12.7.
Hong et al. (2006). “Optimal Scheduling of Replacement and Rehabilitation of Water Distribution Systems.” ASCE-Journal of Infrastructure Systems, September, pp.184-191.
Hoffman, M. (2004). “Overview of Water Mains Rehabilitation Technology in The United Kingdom.” ASCE Conference Proceedings-Pipelines 2002, Cleveland, Ohio, USA.
Iseley et al. (1999). “Trenchless Construction methods and Soil Compatibility Manual.” Arlington, VA, USA.
June et al. (2004). “Isolating Subsystems in a Water Distribution Network.” ASCE- World Water Congress 2004, Salt Lake City, Utah, USA.
Karaa, F.; and Marks, D. (1990). “Performance of Water Distribution Networks: Integrated Approach.” ASCE-Journal of Performance of Constructed Facilities, February, Vol. 4, No. 1, pp. 51-67.
Kleiner, Y.; and Rajani, B. (2001). “Comprehensive Review of Structural Deterioration of Water Mains: Statistical Models.” Urban Water, Vol. 3(3), pp.131-150.
Kleiner, Y., and Rajani, B. (2002) “Forecasting variations and trends in watermain breaks.” J. Infrastructure System. Vol. 8 (4), pp.122–131.
Langan, P. (2003). "Comparing Horizontal Directional Drilling versus Open Cut for the installation of a sanitary sewer." Environmental Science Engineering, May, ON, Canada.
Letchford, A. (2010); “A Tutorial on Mixed-Integer Non-Linear Programming.”(http://www.lancs.ac.uk/staff/letchfoa/talks/MINLP.pdf), April 1, 2011.
Li and Zhao. (2005). “A Cut/Tie Set Method for Reliability Evaluation of Control Systems.” American Control Conference, June 8-10, 2005, Portland, OR, USA.
Lingo 12 (2010). “Reference Manual.” Lindo System Inc., Chicago, IL.
Loganathan et al. (2001). “A Threshold Break Rate for Scheduling Optimal Pipeline Replacement.” ASCE-World Water Congress 2001.
Lootsma, F., (1997). “Fuzzy logic for planning and decision Making”. Dordrechet, the Netherlands: Kluwer Academic Publishers.
Makar J.; and Kleiner, Y. (2000). “Maintaining Water Pipeline Integrity.” NRCC- 42828, Journal of Infrastructure System, v.5 (2), June, pp.69-78.
Microsoft Inc.(www.microsoft.com) (December 14, 2010)
Miles et al. (2007). “Best Results –A Case Study Using Condition and Criticality Criteria.” Advances and Experiences with Trenchless Pipeline Projects, ASCEPipelines
Mohamed, E.; and Zayed (2008). “Budget Allocation Model for Replacement/ Rehabilitation of Water Mains.” No-Dig Conference, Dallas, USA.
Moselhi, O.; and Sigurdaottir, V. (1998). “Rehab Select: A decision Support System for Selecting Trenchless Pipeline Rehabilitation Techniques.” No-Dig Conference, Albuquerque, New Mexico, USA.
Moselhi, O.; Zayed, and T.; Salman, A. (2009). “Selection Method for Rehabilitation of distribution Networks.” ASCE International Pipelines and Trenchless Technology Conference, Shanghai, China, 2009.
Najafi M. (2004). “Life-cycle-cost comparison of trenchless and conventional open-cut pipeline construction projects.” ASCE- Pipelines 2004, San Diego, USA.
NeuroShell-2 (1996). “Reference Manual.” Ward Systems Group. Inc., Frederick, Md.
NRC (2002). “Deterioration and Inspection of Water Distribution Systems.” A Best Practice by the National Guide to Sustainable Municipal Infrastructure, NRC, Canada, Issue 1.0, September (http://www.sustainablecommunities.fcm.ca/files/Best
practices/Potable_Wate/Deterior_Inspect_water_distrib_syst.pdf). (August 14, 2008)
NRC - Infraguide: Best practices (2003). “Selection of Technologies for the Rehabilitation or Replacement of Sections of A water Distribution System.” A Best Practice by the National Guide to Sustainable Municipal Infrastructure, NRC, Canada, Issue 1.0, March.
Quimpo, R. (1996). “Measure of Water Distribution System Reliability.” ASCERisk- Based Decision Making in Water Resources VII, pp.388-395.
Ramakumar, R. (1993). “Engineering Reliability.” Prentice Hall, Englewood Cliffs, New Jersey. USA.
Rogers, P.; and Grigg, N. (2006). “Failure Assessment Model to Prioritize Pipe Replacement in Water Utility Asset Management.” ASCE-8th Annual Water Distribution Systems Analysis Symposium, Cincinnati, Ohio, USA.
Saaty, T. L. (2001). “Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World.” RWS Publications, California, USA.
Salman, Bainbridge, Shahata, Zantingh, and Krinas. (2010). “Risk Management Strategy for Water Distribution Networks.” Ontario Water Works Association Conference, Windsor, Ontario, Canada, 2010.
Salman, A.; Zayed, T.; and Moselhi, O. (2009-a). “Reliability Assessment of Water Distribution Network.” No-Dig Conference, Toronto, Canada, 2009.
Salman, A.; Zayed, T.; and Moselhi, O. (2009-b). “Scheduling Model for Rehabilitation of Water Distribution.” No-Dig Conference 2009, Toronto, Canada,
Shamir,U.; and Howard, C. (1997). “An Analytic Approach to Scheduling Pipe Replacement.” Journal of American Water Works Association, Vol.71, pp.248-258.
Shahata K.; and Zayed, T. (2008). “Simulation As A Tool For Life Cycle Cost Analysis.” Proceedings of the 2008 Winter Simulation Conference, pp. 2497-2503, Austin, Texas, USA.
Shehab-Eldeen, T. (2002) “An automated system for detection, classification and rehabilitation of defects in sewer pipes.” Ph.D. Thesis, supervisor: Dr.O.Moselhi,
Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Canada.
Tchobanoglous, G., Burton, F., and Stensel, H. (2003) “Wastewater engineering, treatment, disposal and reuse.” 4th ed. New York: McGraw-Hill.
UMA Engineering Ltd.(AECOM) (2007). “Water Main Management Framework: technical report” UMA Engineering Ltd.(AECOM), Mississauga, Ontario, Canada.
Walski, T. (1993) “Water Distribution Valve Topology for Reliability Analysis.” Journal of Reliability Engineering and System Safety”, Vol.42, pp.21-27, Elsevier
Science Publishers Ltd, England, UK.
Wang, Y. (2006). “Deterioration and Condition Rating Analysis of Water Mains.” M.A.S.c. Thesis, Department of Building, Civil, and Environmental Engineering,
Concordia University, Montreal, Canada.
Young, C. et. al. (2007). “Information-Guided Algorithm Approach to the Solution of MINLP.” Ind. Eng. Chem. Res., American Chemical Society, 46, 1527-1537.
Zhao, J.; and Rajani, B. (2002). “Construction and Rehabilitation of Buried Pipe with a Focus on Trenchless Technologies.” NRC, Research report No. 101, June.
Zayed, T.; and Chang, L. (2002). “Prototype Model for Build Operate Transfer (BOT) Risk Assessment.” J. of Management in Engineering, ASCE, January, 18 (1): 7-16.
Zayed, T.; and Halpin, D. (2004). “Quantitative assessment for piles productivity factors.” ASCE- Journal of Construction Engineering and Management, Vol.130,
No.3, pp. 405-414.
Zayed, T.; Salman, A.; and Basha, I. (2011). “The Impact on Environment of Underground Infrastructure Utility Work.” Journal of Structure and Infrastructure Engineering, UK.
Repository Staff Only: item control page