Corrugated steel culvert pipe deterioration : final report, August 2009.
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2009-08-01
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Edition:Final report; Jan. 2003-Dec. 2006.
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Abstract:This research provides the basis for developing a comprehensive plan for inspection, cleaning, condition assessment and ; prediction of remaining service life of CSCP (Corrugated Steel Culvert Pipe). Inspection frequency guidelines were developed ; that rate CSCP’s at three levels. The rating categories are based on the following factors: corrosion and erosion, bed load, pH, ; and culvert size, age and importance, and are ranked according to increasing need; e.g., annual inspections are recommended ; for Category III (older pipes with reported problems). A four condition state assessment system based upon the Caltrans ; system was developed, including quantifiable section losses, specific surface features, and a prescribed response associated ; with each condition state. A Markov deterioration model was used to predict the future condition state of new CSCP in urban ; and rural settings. These improvements will be addressed in the next phase of the research project within the context of a ; Culvert Information Management System (CIMS). In addition, the Weibull distribution will replace the Markov model for ; predicting the remaining service life of CSCP in the next phase of this project. ; The proposed CIMS will be capable of analyzing decisions to inspect, rehabilitate/replace, or do nothing at both project and ; network levels. At the project level this will be achieved by comparing inspection and/or rehabilitation/replacement costs with ; risks and costs associated with failure. At the network level, the associated costs will be optimized to meet annual ; maintenance budget allocations by prioritizing CSCP’s needing inspection and rehabilitation/replacement. CIMS will also be ; used to estimate the required annual budgetary allocation for a stipulated planning horizon to maintain or improve the ; aggregate condition state of the CSCP network, or to maintain or improve the total highway CSCP network asset value, ; thereby meeting the GASB-34 requirements. The optimum sequential path in the annual decision making process may then be ; determined using a combination of operations research tools. ; A framework for real time and automated monitoring of the condition of culverts based on the identification of internal defects ; via video inspection was developed. An innovative approach of judiciously extracting image frames from the video and ; analyzing the frames to locate and categorize major defects was developed. Each frame is preprocessed to enhance contrast ; using an adaptive scheme and reduced dimensionality in pixel-space by implementing region based processing. The ; preprocessing is followed by a two-step image segmentation process, which implements a background elimination procedure in ; the first step and shape detection in the second step. Fuzzy clustering is used as the underlying segmentation model. Defect ; shape and depth information after post-processing are used as input to an automated condition state assessment ; methodology. A simple formulation based on both the damage area and depth is then utilized to assess the condition of ; culverts based on a 4-point condition assessment scale. The proposed framework was demonstrated with a test example. ; Future research would entail consolidating the concept by extensive testing and integration for real time application.
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Main Document Checksum:urn:sha256:8227a1f0d5c46a4a5d86e0593b617eb1e563461c4aed7598e9bf093bf48202aa