Technical Papers
Jan 7, 2021

Performance Assessment Framework for Reinforced Concrete Pipes in Rainwater Drainage System Using a Combined Weights-Fuzzy Theory

Publication: Journal of Performance of Constructed Facilities
Volume 35, Issue 2

Abstract

Due to the current deterioration of the environment, the performance degradation of reinforced concrete rainwater drainage pipes (RCRDPs) has become increasingly serious. Aiming at these problems and to provide the experience and ideas for scientific management of the pipelines, this study established an evaluation model for the performance of RCRDPs based on the combined weight-fuzzy theory. This study determined the evaluation index system and classification level boundaries, the subjective and objective weights of each index, the fuzzy evaluation matrix, and the performance level of the pipeline system. In addition, according to the radar chart analysis method, the performance of the cases was ranked and the specific repair plans were obtained. Finally, the scientific evaluation method was tested with the case study of 20 pipelines of DoaQung City. The research results show the following: (1) The combined weight of each indicator of the pipelines fully reflects the importance of them, overcoming the subjectivity of the analytic hierarchy process (AHP) and adopting the objectivity of the entropy theory. (2) The ranking of 20 pipelines comprehensive performance levels is G>F>Q>D>H>S>B>E>N>C>K>P>L>R>A>O>J>M>I>T, and this almost the same as the result of closed-circuit television inspections (CCTV). (3) The combined weight-fuzzy theory can be based on CCTV data to compare the status of each index, and the evaluated results are relatively scientific and reasonable. This research can provide a theoretical reference for the performance classification and maintenance of RCRDPs.

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Data Availability Statement

Because the research involves the cooperation of many institutions, research work is still ongoing. Therefore, some or all data, models, or code generated or used during the study are proprietary or confidential and may only be provided with restrictions.

Acknowledgments

Hesong JIN is responsible for writing and constructing ideas; Xue’e JIN is responsible for data processing and language editing; Jingtai JIN is responsible for providing the test equipment and participating in the test; Xueyan JIN is responsible for the revision of the thesis and giving the project financial supports.

References

Ana, K. M., and G. Enedir. 2019. “Environmental performance of hybrid 639 rainwater-greywater systems in residential buildings.” Resour. Conserv. 144 (1): 100–114. https://doi.org/10.1016/j.resconrec.2019 641.01.035.
Angkasuwansiri, T. 2013. Development of wastewater pipe performance index and performance prediction model. Blacksburg, VA: Faculty of the Virginia Polytechnic Institute and State Univ.
Angkasuwansiri, T., and S. K. Sinha. 2014. “Development of wastewater pipe performance index and performance prediction model.” Int. J. Sustainable Mater. Struct. Syst. 1 (3): 244–264. https://doi.org/10.1504/IJSMSS.2014.062767.
ASCE. 2017. “Report card for America’s infrastructure.” Accessed December 5, 2018. http://www.infrastructurereportcard.org.
ASTM. 2011. “Standard specifications for reinforced concrete culverts, storm drain and sewer pipe.” Accessed January 16, 2015. www.astm.org/Standards/C76M.htm.
Bai, Y., and Q. Bai. 2014. Subsea pipeline integrity and risk management. Houston: Gulf Professional Publishing.
Beavers, J. E. 2009. Multihazard issues in the central United States: Understanding the hazards and reducing the losses. Reston, VA: ASCE.
Chae, M. Y. J., and J. H. David. 2019. “Acceptance sampling plans for pipeline condition assessment.” J. Pipeline Syst. Eng. Pract. 10 (4): 04019024. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000393.
Daher, S. 2015. Defect-based condition assessment model and protocol of sewer pipelines. Montreal: Concordia Univ.
Davies, J. P., B. A. Clarke, J. T. Whiter, and R. J. Cunningham. 2001. “Factors influencing the structural deterioration and collapse of rigid sewer pipes.” Urban Water 3 (1–2): 73–89. https://doi.org/10.1016/S1462-0758(01)00017-6.
El-Chanati, H. 2014. Performance assessment of water network infrastructure. Montreal: Concordia Univ.
El-Chanati, H., M. El-Abbasy, F. Mosleh, A. Senouci, M. Abouhamad, I. Gkountis, and T. Zayed. 2016. “Multi-criteria decision making models for water pipelines.” J. Perform. Constr. Facil. 30 (4): 04015090. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000842.
Emilie, H. D., M. Z. Saeed, and F. G. Dominic. 2011. “Biodeterioration of concrete sewer pipes: State of the art and research needs.” J. Pipeline Syst. Eng. Pract. 2 (2): 42–52. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000072.
Eskandarzade, M., A. Kalaki, and R. Shahrivar. 2018. “The application and limitations of corrosion management process.” Struct. Integrity Life 18 (3): 4.
Fares, H., and T. Zayed. 2010. “Hierarchical fuzzy expert system for risk of failure of water mains.” J. Pipeline Syst. Eng. Pract. 1 (1): 53–62. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000037.
Greta, J. V., and C. M. John. 2019. “Consequence-of-failure model for risk-based asset management of wastewater pipes using AHP.” J. Pipeline Syst. Eng. Pract. 10 (2): 04019005.
Grigg, N. S. 2002. Water, wastewater, and storm water infrastructure management. Boca Raton, FL: CRC Press.
Gu, H. W. 2009. Reliability evaluation of ancient masonry towers based on fuzzy comprehensive evaluation theory. Beijing: Beijing Jiaotong Univ.
Han, S., M. J. Chae, H. Hwang, and Y. Choung. 2014. “Evaluation of customer-driven level of service for water infrastructure asset management.” J. Manage. Eng. 31 (4): 04014067. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000293.
Hawari, A., F. Alkadour, M. Elmasry, and T. Zayed. 2016. “Simulation based condition assessment model for sewer pipelines.” J. Perform. Constr. Facil. 31 (1): 04016066. https://doi.org/10.1061/(ASCE)CF.19435509.0000914.
Hawari, A., F. Alkadour, M. Elmasry, and T. Zayed. 2018. “Condition assessment model for sewer pipelines using fuzzy-based evidential reasoning.” Aust. J. Civ. Eng. 16 (1): 23–37. https://doi.org/10.1080/14488353.2018.1444333.
Hawari, A., F. Alkadour, M. Elmasry, and T. Zayed. 2020. “A state-of-the-art review on condition assessment models developed for sewer pipelines.” Eng. Appl. Artif. Intell. 93 (2020): 103721. https://doi.org/10.1016/j.engappai.2020.103721.
House, M. W. 2013. Using biological and physico-chemical test methods to assess the role of concrete mixture design in resistance to microbially induced corrosion. West Lafayette, IN: Purdue Univ.
Kaddoura, K., T. Zayed, and A. H. Hawari. 2018. “Multiattribute utility theory deployment in sewer defects assessment” J. Comput. Civ. Eng. 32 (2): 04017074. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000723.
Kanakoudis, V., and S. Tsitsifli. 2012. “Water pipe network reliability assessment using the DAC method.” Desalin. Water Treat. 33 (1–3): 97–106. https://doi.org/10.5004/dwt.2011.2631.
Kleiner, Y., R. Sadiq, and B. Rajani. 2004. “Modeling failure risk in buried pipes using fuzzy Markov deterioration process.” In Proc., Pipelines 2004, Conf., 7–16. Reston, VA: ASCE.
Laucelli, D., and O. Giustolisi. 2015. “Vulnerability assessment of water distribution networks under seismic actions.” J. Water Resour. Plann. Manage. 141 (6): 04014082. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000478.
Mancuso, A., M. Compare, A. Salo, E. Zio, and T. Laakso. 2016. “Risk-based optimization of pipe inspections in large underground networks with imprecise information” Eng. Syst. Saf. 152 (Aug): 228–238. https://doi.org/10.1016/j.ress.2016.03.011.
Mary, C. O. 2011. Structural condition scoring of buried sewer pipes for risk-based decision making. Newark, NJ: Univ. of Delaware.
Marzouk, M., and A. Osama. 2017. “Fuzzy-based methodology for integrated infrastructure asset management.” Int. J. Comput. Intell. Syst. 10 (1): 745–759. https://doi.org/10.2991/ijcis.2017.10.1.50.
MOHURD (Ministry of Housing and Urban Rural Development). 2015. China urban construction statistical yearbook 2015. [In Chinese.] Beijing: MOHURD.
Najafi, M., and G. Kulandaivel. 2005. “Pipeline condition prediction using neural network models.” In Proc., Pipelines 5005: Optimizing Pipeline Design, Operations, and Maintenance in Today’s Economy, 767–781. Reston, VA: ASCE. https://doi.org/10.1061/40800(180)61.
NCPI (National Clay Pipe Institute). 2015. “Vitrified clay pipe engineering manual.” Accessed December 15, 2015. www.ncpi.org/files/NCPIVitrifiedClayPipeEngineeringManual08-11-2015.pdf.
New Zealand Water and Waste Water Association. 2006. New Zealand pipe inspection manual. Auckland, NZ: Waste Water Association.
Ramuna, M., C. R. C. Hassan, and M. D. Hamid. 2019. “Critical success factors of risk-based inspection.” Process Saf. Prog. 38 (1): 4–20. https://doi.org/10.1002/prs.11973.
Reed, C., J. A. Robinson, and D. Smart. 2006. Potential techniques for the assessment of joints in water distribution pipelines. Denver: American Water Works Association.
Sami, D. H., Z. Y. Tarek, E. M. Mohamed, and H. W. Alaa. 2018. “Determining relative weights of sewer pipelines’ components and defects.” J. Pipeline Syst. Eng. Pract. 9 (1): 04017026. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000290.
United States Pipe. 2013. “Ductile iron pipe design.” Accessed February 14, 2015. www.uspipe.com/upload/products/ductile-iron-pipe/ty/2013101199100.DuctileIronPipeDesign2013.pdf.
USEPA. 2000. Wastewater technology fact sheet pipe construction and materials. EPA 832-F-00-068. Washington, DC: USEPA.
Wang, Y. L., and Y. J. Li. 2012. “Comprehensive evaluation of power transmission and transformation project based on improved radar chart.” Adv. Mater. Res. 354 (2012): 1068–1072. https://doi.org/10.4028/www.scientific.net/AMR.354-355.1068.
WRC (Water Research Centre). 2013. Manual of sewer condition classification. 5th ed. Blagrove, UK: WRC.
Wu, L., C. Hu, and W. V. Liu. 2018. “Sustainability of concrete in sewer tunnel—A narrative review of acid corrosion in the City of Edmonton, Canada.” Sustainability 10 (2): 517. https://doi.org/10.3390/su10020517.
Wu, Y. N., Y. Tao, Z. Q. Deng, J. L. Zhou, C. B. Xu, and B. Y. Zhang. 2020. “A fuzzy analysis framework for waste incineration power plant comprehensive benefit evaluation from refuse classification perspective.” J. Cleaner Prod. 258 (2020): 120734. https://doi.org/10.1016/j.jclepro.2020.120734.
Yuan, J., X. Li, C. Xu, C. Zhao, and Y. Liu. 2019. “Investment risk assessment of coal-fired power plants in countries along the belt and road initiative based on ANP entropy-TODIM method.” Energy 176 (Jun): 623–640. https://doi.org/10.1016/j.energy.2019.04.038.
Zhou, Y., K. Vairavamoorthy, and F. Grimshaw. 2009. Development of a fuzzy-based pipe condition assessment model using PROMETHEE. In Proc., 29th World Environmental and Water Resources Congress, 1–10. Reston, VA: ASCE.
Zhu, H. Y. 2017. Research on resilience of urban municipal pipeline for system safety and operation. Shanghai, China: Tongji Univ.

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 35Issue 2April 2021

History

Received: May 12, 2020
Accepted: Sep 30, 2020
Published online: Jan 7, 2021
Published in print: Apr 1, 2021
Discussion open until: Jun 7, 2021

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Master’s Student, School of Civil Engineering, Southwest Jiaotong Univ., No. 111, North Section 1, Second Ring Rd., Jinniu District, Chengdu, Sichuan Province 610031, China. Email: [email protected]
Master’s Student, School of Management and Economics, Kunming Univ. of Science and Technology, No. 235, Jianshe Rd., Wuhua District, Kunming, Yunnan Province 650093, China. Email: [email protected]
Jingtai Jin [email protected]
Bachelor Student, Dept. of Internal Medicine, Shenzhou Yimin Hospital, Shenzhou Trade City, Hengshui, Hebei Province 053800, China. Email: [email protected]
Xueyan Jin, Ph.D. [email protected]
Senior Engineer, School of Earth Science and Resources, China Univ. of Geosciences, No. 29 Xueyuan Rd., Haidian District, Beijing 100083, China; Exploration and Development Research Institute of Daqing Oilfield Co., Ltd., No. 7, Science Rd., Ranghu Road District, Daqing, Heilongjiang Province 163000, China (corresponding author). Email: [email protected]

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