Modeling Blockage Failures in Sewer Systems to Support Maintenance Decision Making
Publication: Journal of Performance of Constructed Facilities
Volume 24, Issue 6
Abstract
The objective of this research is to develop and implement a stochastic method that can be applied to characterize random failures in critical infrastructure systems. We particularly focus on blockage failures in sewer systems that are nonmechanistic and result from combination of external factors, including deterioration in condition. The method was implemented using a data set consisting of sewer blockage failure records from a small municipality. Statistical tests were conducted to: (1) ensure that available data set is representative and (2) estimate parameters of distributions that appropriately characterize failure event arrival pattern. Failure trends were also analyzed to identify the influence of local factors and justify the choice of the distributions used to characterize interarrival times. Based on the analysis, we explored the challenges in developing a reliability model across the life cycle of a sewer system. In addition, specific examples were also presented to illustrate how the method can be applied to support system maintenance decisions. The results of this study illustrate how the memoryless property can be assumed in analyzing failure events, while explicitly considering context specific influences. Finally, the methods described in this paper are extensible and can be applied generally to analyzing random failures in other infrastructure systems as well.
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References
Abraham, D. M., Wirahadikusumah, R., Short, T., and Shahbahrami, S. (1998). “Optimization modeling for sewer network management.” J. Constr. Eng. Manage., 124(5), 402–410.
Bennis, S., Bengassem, J., and Lamarre, P. (2003). “Hydraulic performance index of a sewer network.” J. Hydraul. Eng., 129(7), 504–510.
Butt, A. A. (1991). “Application of Markov process to pavement management systems at the network level.” Ph.D. thesis, Univ. of Illinois, Urbana-Champaign, Ill.
Butt, A. A., Shahin, M. Y., Feighan, K. J., and Carpenter, S. H. (1987). “Pavement performance prediction model using the Markov process.” Transp. Res. Rec., 1123, 12–19.
Chu, C. -Y., and Durango-Cohen, P. L. (2008). “Empirical comparison of statistical pavement performance models.” J. Infrastruct. Syst., 14(2), 138–149.
Chughtai, F., and Zayed, T. (2008). “Infrastructure condition prediction models for sustainable sewer pipelines.” J. Perform. Constr. Facil., 22(5), 333–341.
Cowpertwait, P., Isham, V., and Onof, C. (2007). “Point process models of rainfall: Developments for fine-scale structure.” Proc. R. Soc., 463, 2569–2587.
Cowpertwait, P., O’Connell, P., Metcalfe, A., and Mawdsley, J. (1996). “Stochastic point process modelling of rainfall. 1. Single-site fitting and validation.” J. Hydrol., 175(1–4), 17–46.
Cox, D. (1966). The statistical analysis of series of events, Methuen, London.
Crow, L. H. (1974). “Reliability analysis for complex repairable systems.” Reliability and biometry: Statistical analysis of lifelength, F. Proschan, and R. J. Serfling, eds., SIAM, Philadelphia, 379–410.
Davies, J., Clarke, B., Whiter, J., and Cunningham, R. (2001). “Factors influencing the structural deterioration and collapse of rigid sewer pipes.” Urban Water, 3, 73–89.
Eagleson, P., Fennessey, N., Wang, Q., and Rodriguez, I. (1987). “Application of spatial Poisson models for air mass thunderstorm rainfall.” J. Geophys. Res., [Atmos.], 92(D8), 9661–9678.
Ermolin, Y., Zats, L., and Kajisa, T. (2002). “Hydraulic reliability index for sewage pumping stations.” Urban Water, 4, 301–306.
Hahn, M., Palmer, R., Merrill, M., and Lukas, A. (2006). “Expert system for prioritizing the inspection of sewers: Knowledge base formulation and evaluation.” J. Water Resour. Plann. Manage., 132(1), 42–52.
Houghton-City. (2009). “2008 water quality consumer confidence report.” ⟨http://www.cityofhoughton.com/⟩ (Feb. 10, 2009).
Hudson, W. R., Haas, R., and Uddin, W. (1997). Infrastructure management: Design, construction, maintenance, rehabilitation, and renovation, McGraw-Hill, New York.
Karlin, S., and Taylor, H. W. (1975). A first course in stochastic processes, Academic, San Diego.
Kingman, J. (1993). Poisson process, Oxford University Press, New York.
Korving, H., Clemens, F., and Noortwijk, M. (2006). “Statistical modeling of the serviceability of sewage pumps.” J. Hydraul. Eng., 132(10), 1076–1085.
Lord, D., Washington, S., and Ivan, J. (2005). “Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: Balancing statistical fit and theory.” Accid. Anal Prev., 37, 35–46.
Ma, J., and Goulias, K. (1999). “Application of Poisson regression models to activity frequency analysis and prediction.” Transp. Res. Rec., 1676, 86–94.
Micevski, T., Kuczera, G., and Coombes, P. (2002). “Markov model for storm water pipe deterioration.” J. Infrastruct. Syst., 8(2), 49–56.
Mukherjee, A., Johnson, D., Jin, Y., and Kieckhafer, R. (2010). “Using situational simulations to support decision making in codependent infrastructure systems.” Int. J. Crit. Infrastruct., 6(1), 52–72.
Onof, C., Yameundjeu, B., Paoli, J., and Ramesh, N. (2002). “A Markov modulated Poisson process model for rainfall increments.” Water Science and Technology: J. Int. Assoc. on Water Pollution Research, 45(2), 91–97.
Ross, S. (1993). Introduction to probability models, Academic, San Diego.
Serpente, R. (1994). “Understanding the modes of failure for sewers.” Committee report paper, ASCE, New York, 86–100.
Sinha, S. (2004). “Intelligent system for condition monitoring of underground pipelines.” Comput. Aided Civ. Infrastruct. Eng., 19, 42–53.
Sumer, D., Gonzalez, J., and Lansey, K. (2007). “Real-time detection of sanitary sewer overflows using neural networks and time series analysis.” J. Environ. Eng., 133(4), 353–363.
Vaughan, T. (2008). “In search of the memoryless property.” Proc., 2008 Winter Simulation Conf., Miami, 2572–2576.
Wirahadikusumah, R., Abraham, D., and Iseley, T. (2001). “Challenging issues in modeling deterioration of combined sewers.” J. Infrastruct. Syst., 7(2), 77–84.
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© 2010 ASCE.
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Received: Oct 6, 2009
Accepted: Feb 8, 2010
Published online: Feb 19, 2010
Published in print: Dec 2010
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