Title: Fuzzy Expert System to Assess Corrosion of Cast/Ductile Iron Pipes from Backfill Properties
Abstract: Computer-Aided Civil and Infrastructure EngineeringVolume 21, Issue 1 p. 67-77 Fuzzy Expert System to Assess Corrosion of Cast/Ductile Iron Pipes from Backfill Properties Homayoun Najjaran, Corresponding Author Homayoun Najjaran Institute for Research in Construction, National Research Council Canada (NRC) Ottawa, ON, Canada K1A 0R6 *To whom correspondence should be addressed. E-mail: [email protected].Search for more papers by this authorRehan Sadiq, Rehan Sadiq Institute for Research in Construction, National Research Council Canada (NRC) Ottawa, ON, Canada K1A 0R6Search for more papers by this authorBalvant Rajani, Balvant Rajani Institute for Research in Construction, National Research Council Canada (NRC) Ottawa, ON, Canada K1A 0R6Search for more papers by this author Homayoun Najjaran, Corresponding Author Homayoun Najjaran Institute for Research in Construction, National Research Council Canada (NRC) Ottawa, ON, Canada K1A 0R6 *To whom correspondence should be addressed. E-mail: [email protected].Search for more papers by this authorRehan Sadiq, Rehan Sadiq Institute for Research in Construction, National Research Council Canada (NRC) Ottawa, ON, Canada K1A 0R6Search for more papers by this authorBalvant Rajani, Balvant Rajani Institute for Research in Construction, National Research Council Canada (NRC) Ottawa, ON, Canada K1A 0R6Search for more papers by this author First published: 27 October 2005 https://doi.org/10.1111/j.1467-8667.2005.00417.xCitations: 41AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract Abstract: Several factors may contribute to the structural failure of cast and ductile iron water mains, the most important of which is considered to be corrosion. The ANSI/AWWA C105/A21.5-99 10-point scoring (10-P) method is commonly used to predict the corrosivity potential of a given soil sample using certain soil properties. The 10-P and other scoring methods use binary logic to classify the soil as either corrosive or noncorrosive. Fuzzy logic extends binary logic in this context as it recognizes the real world phenomena using a certain degree of membership between 0 and 1. This article presents a fuzzy logic expert system capable of predicting the deterioration of cast and ductile iron water mains based on surrounding soil properties. The proposed model consists of two modules: a knowledge base and an inference mechanism. The knowledge base provides information for better decision making and is developed in a two-tier fuzzy modeling process. First in direct approach, the expert knowledge generates a subjective model to describe the characteristics of the system using fuzzy linguistic variables. Later in system identification, the field data are used to develop an objective model, which is eventually used in conjunction with the subjective model to provide a more reliable knowledge base for the expert system. The inference mechanism uses fuzzy approximate reasoning methods to process the encoded information of the knowledge base. REFERENCES ANSI/AWWA C105/A21.5-99. (1999), American National Standard for Polyethylene Encasement for Ductile-Iron Pipe Systems, American Water Works Association, Denver , CO . Google Scholar Bardossy, A., Bronstert, A. & Merz, B. (1995), 1-, 2- and 3-dimensional modeling of groundwater movements in the unsaturated soil matrix using a fuzzy approach, Advances in Water Resources, 18(4), 237–51. 10.1016/0309-1708(95)00009-8 Web of Science®Google Scholar Davis, P., Allan, I., Burn, S. & Van De-Graaff, R. (2003), Identifying trends in cast iron pipe failure with GIS maps of soil environments, Pipes Wagga 2003, Back to Basics: Design and Innovation, Wagga City , Australia . Google Scholar Dechant, D. A. & Smith, G. (2004), Present levels of corrosion on ferrous water piping in municipal infrastructure: A manufacturer's perspective, Materials Performance, 43(1), 54–57. Web of Science®Google Scholar DIPRA (2000), Polyethylene Encasement—Effective Economical Protection for Ductile Iron Pipe in Corrosive Environments, Company Internet Website, Ductile Iron Pipe Research Association . Google Scholar Dou, C., Woldt, W., Bogardi, I. & Dahab, M. (1995), Steady state groundwater flow simulation with imprecise parameters, Water Resources Research, 31(11), 2709–19. 10.1029/95WR02310 Web of Science®Google Scholar Doyle, G., Seica, M. V. & Grabinsky, M. W. F. (2003), The role of soil in the external corrosion of cast iron water mains in Toronto, Canada, Canadian Journal of Civil Engineering, 40, 225–36. Web of Science®Google Scholar Emami, M. R., Turksen, I. B. & Goldenberg, A. A. (1998), Development of a systematic methodology of fuzzy logic modeling, IEEE Transactions on Fuzzy Systems, 6(3), 346–61. 10.1109/91.705501 Web of Science®Google Scholar Filev, D. P. & Yager, R. R. (1991), A generalized defuzzification method under BADD distribution, International Journal of Intelligent Systems, 6, 687–97. 10.1002/int.4550060702 Web of Science®Google Scholar Guyonnet, D. G., Come, B., Perrochet, P. & Parriaux, A. (2000), Comparing two methods for uncertainty in risk assessments, ASCE Journal of Environmental Engineering, 125(7), 660–66. 10.1061/(ASCE)0733-9372(1999)125:7(660) Web of Science®Google Scholar Ihara, J. (1980), Group method of data handling towards a modeling of complex systems-IV, Systems and Control (In Japanese), 24, 158–68. Google Scholar Kleiner, Y. & Rajani, B. (2001), Comprehensive review of structural deterioration of water mains: Statistical models, Urban Water, 3(3), 131–50. 10.1016/S1462-0758(01)00033-4 Google Scholar Kleiner, Y., Sadiq, R. & Rajani, B. (2004), Modeling failure risk in buried pipes using fuzzy Markov deterioration process, in Proceedings of ASCE Pipelines 2004, San Diego , CA . Google Scholar Klir, G. J. & Yuan, B. (1995), Fuzzy Sets and Fuzzy Logic—Theory and Applications, Prentice-Hall Inc., Englewood Cliffs , NJ . Google Scholar Kulkarni, R. B., Golabi, K. & Chuang, J. (1986), Analytical Techniques for Selection of Repair-or-Replace Options for Cast Iron Gas Piping Systems—Phase I, Gas Research Institute, PB87-114112, Chicago , IL . Google Scholar Lary, J. (2000), Corrosion, not age, is to blame for most water main breaks, Water World. Google Scholar Lee, C. C. (1990a), Fuzzy logic in control systems: Fuzzy logic controller—part I, IEEE Transactions on Systems, Man, and Cybernetics, 20(2), 404–18. 10.1109/21.52551 Web of Science®Google Scholar Lee, C. C. (1990b), Fuzzy logic in control systems: Fuzzy logic controller—part II, IEEE Transactions on Systems, Man, and Cybernetics, 20(2), 419–35. 10.1109/21.52552 Web of Science®Google Scholar Lei, J. (1997), Statistical approach for describing lifetimes of water mains—case Trondheim municipality, SINTEF Civil and Environmental Engineering, Report No. 22F007.28, Trondheim , Norway . Google Scholar Lin, C. F. (1994), Advanced Control Systems Design, Prentice Hall Inc., Englewood Cliffs , NJ . Google Scholar Mamdani, E. H. (1977), Application of fuzzy logic to approximate reasoning using linguistic synthesis, IEEE Transactions on Computers, 26(12), 1182–91. 10.1109/TC.1977.1674779 Web of Science®Google Scholar Metalogic, N. V. (1998), Company Internet Website, http://www.metalogic.be, Metalogic N.V., Heverlee , Belgium . Google Scholar Najjaran, H., Sadiq, R. & Rajani, B. (2004), Fuzzy logic expert system for assessing corrosion of cast/ductile iron water mains using soil properties, in Proceedings of ASCE Pipelines2004, San Diego , CA . Google Scholar Provenzano, P. (2003), A fuzzy-neural network method for modeling uncertainties in soil structure interaction problems, Computer Aided Civil and Infrastructure Engineering, 18, 391–411. 10.1111/1467-8667.00326 Web of Science®Google Scholar Provenzano, P., Ferlisi, S. & Musso, A. (2004), Tentative interpretation of a model footing response through an adaptive neural fuzzy inference system, Computer and Geotechnics, 31, 251–66. 10.1016/j.compgeo.2004.03.001 Web of Science®Google Scholar Rajani, B. & Kleiner, Y. (2001), Comprehensive review of structural deterioration of water mains: Physical based models, Urban Water, 3(3), 151–64. 10.1016/S1462-0758(01)00032-2 Google Scholar Rajani, B., Makar, J., McDonald, S., Zhan, C., Kuraoka, S., Jen, C. K. & Veins, M. (2000), Investigation of grey cast iron water mains to develop a methodology for estimating service life, American Water Works Association Research Foundation (AWWARF), Denver , CO . Google Scholar Sadiq, R., Rajani, B. & Kleiner, Y. (2004), A fuzzy based method of soil corrosivity evaluation for predicting water main deterioration, ASCE Journal of Infrastructure Systems, 10(4), 149–56. 10.1061/(ASCE)1076-0342(2004)10:4(149) Google Scholar Seica, M. V., Packer, J. A., Grabinsky, M. W. F., Adams, B. J. & Karney, B. W. (2000), Evaluation and testing of cast iron and ductile iron water mains samples, Final Report to City of Toronto, Department of Civil Engineering, University of Toronto . Google Scholar Spickelmire, B. (2002), Corrosion consideration for ductile iron pipe, Materials Performance, 41, 16–23. CASWeb of Science®Google Scholar Sugeno, M. & Yasukawa, T. (1993), A fuzzy-logic-based approach to qualitative modeling, IEEE Transactions on Fuzzy Systems, 1(1), 7–31. 10.1109/TFUZZ.1993.390281 Google Scholar Yager, R. R. & Filev, D. P. (1994a), Essentials of Fuzzy Modeling and Control, John Wiley & Sons Inc., NY . Google Scholar Yager, R. R. & Filev, D. P. (1994b), Template based fuzzy systems modeling, Journal of Intelligent Systems, 2, 39–54. Google Scholar Zadeh, L. A. (1971), Towards a theory of fuzzy systems, in R. Kalman and N. DeClaris (eds.), Aspects of Network and System Theory, Holt, Reinhart & Winston, New York , pp. 469–90. Google Scholar Zadeh, L. A. (1973), Outline of a new approach to the analysis of complex systems and decision processes, IEEE Transactions on Systems, Man, and Cybernetics, 3, 28–44. 10.1109/TSMC.1973.5408575 Web of Science®Google Scholar Zadeh, L. A. (1991), From circuit theory to system theory, in, G. L. Klir (ed.), Facets of Systems Science, Plenum Press, New York . Google Scholar Zadeh, L. A. (1996), Fuzzy logic computing with words, IEEE Transactions on Fuzzy Systems, 4(2), 103–11. 10.1109/91.493904 Web of Science®Google Scholar Citing Literature Volume21, Issue1January 2006Pages 67-77 ReferencesRelatedInformation