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Enriching conventional sewer condition Assessment through additional data interpretation and visualization

Liu, W. (2020) Enriching conventional sewer condition Assessment through additional data interpretation and visualization.

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Abstract:To date, the literature suggests to visualize conventional inspection data (from e.g., CCTV, laser and sonar inspections) for sewer pipes using full-range pipe fold-out images (Wirahadikusumah, et al., 1998; Kirkham, et al., 2000). The state-of-art in which data coming from other inspection methods such as impact echo and surface GPR is presented is, however, different. For example, literature uses 2D contour images, tomograms and defect maps for slab-like structures on pavements and bridge decks (Zhu, et al., 2007; Olson, et al., 2011; radarviewllc, 2020). These data visualization concepts are, however, not readily interpretable or presentable to sewer asset managers that conventionally work with the 2D CCTV pipe fold-out view. Nor are they implemented in sewer management software. Hence, the objective of this project is to design a method that can visualize the additional sewer condition data collected by an in-pipe GPR sewer inspection.
Item Type:Essay (Master)
Faculty:ET: Engineering Technology
Programme:Construction Management and Engineering MSc (60337)
Link to this item:https://purl.utwente.nl/essays/83186
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