This review identifies limitations in pipeline condition assessment practices, highlighting advancements in anomaly-detection technologies for wastewater management.
Pipeline Condition Assessment (PCA) is essential for the effective management of wastewater infrastructure, providing critical data that guides decisions on the maintenance, rehabilitation, and replacement of aging pipelines. Despite notable advancements, PCA practices in wastewater systems continue to face challenges due to the complexities of subsurface environments, the limitations of current technologies, and the increasing demands of urban infrastructure. This paper presents a synthesis of past studies of PCA practices in wastewater systems and identifies limitations in current PCA practices. The study examines the deterioration mechanisms and factors contributing to the failure of commonly used wastewater pipe materials, including Vitrified Clay Pipe (VCP), Cast Iron Pipe (CIP), Ductile Iron Pipe (DIP), Pre-stressed Concrete Cylinder Pipe (PCCP), Polyvinyl Chloride (PVC) pipe, High-density Polyethylene (HDPE) pipe, and Polymer Concrete Pipe. An overview of anomaly-detection capabilities, operational principles, and application areas of state-of-practice PCA technologies for wastewater systems is provided. Key methodologies, such as visual, electromagnetic, and acoustic inspection techniques, are analyzed in terms of their performance across different pipe materials, diameters, operational rates, data output formats, and accuracy in measuring anomaly dimensions, including depth, length, and width. By synthesizing research findings from the past, the review highlights both the progress made and the limitations that persist in the field. The findings emphasize the need for continuous innovation in PCA technologies and the advancement of practices to enhance the reliability and efficiency of wastewater pipeline condition assessments.
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Zhou et al. (2025) studied this question.
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