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

Hesong Jin, Xuee Jin, Xuee Jin, Xueyan Jin, Xueyan Jin, Xueyan Jin

2021Journal of Performance of Constructed Facilities13 citationsDOI

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.

Topics & Concepts

Rainwater harvestingAnalytic hierarchy processFuzzy logicPipeline transportComputer scienceReliability engineeringData miningCivil engineeringOperations researchEnvironmental scienceEngineeringArtificial intelligenceEnvironmental engineeringBiologyEcologyInfrastructure Maintenance and MonitoringMulti-Criteria Decision MakingWater Systems and Optimization