Corrugated steel culvert pipe deterioration : final report, August 2009.
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields



Publication Date Range:


Document Data


Document Type:






Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page


Corrugated steel culvert pipe deterioration : final report, August 2009.

Filetype[PDF-1.60 MB]

  • English

  • Details:

    • Publication/ Report Number:
    • Resource Type:
    • Geographical Coverage:
    • OCLC Number:
    • Edition:
      Final report; Jan. 2003-Dec. 2006.
    • NTL Classification:
    • 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.

    • Format:
    • Main Document Checksum:
    • File Type:

    Supporting Files

    • No Additional Files

    More +

    You May Also Like

    Checkout today's featured content at

    Version 3.21