Details:

Creators:
Meegoda, Jay N. ; Juliano, Thomas M.
Meegoda, Jay N. ; Juliano, Thomas M. Less -
Corporate Creators:
New Jersey Institute of Technology. National Center for Transportation and Industrial Productivity
Corporate Contributors:
New Jersey Department of Transportation ; United States. Federal Highway Administration
New Jersey Department of Transportation ; United States. Federal Highway Administration Less -
Subject/TRT Terms:
[+]
Corrugated Metal Culverts Corrugated Pipe Culverts Metal Culverts--Maintenance And Repair Metal Culverts--Testing Pipe, Steel--Maintenance And Repair Pipe, Steel--Testing
Publication/ Report Number:
FHWA-NJ-2006-007
Resource Type:
Tech Report
Geographical Coverage:
New Jersey
Edition:
Final report; Jan. 2003-Dec. 2006.
Corporate Publisher:
New Jersey. Dept. of Transportation
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:
PDF
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:8227a1f0d5c46a4a5d86e0593b617eb1e563461c4aed7598e9bf093bf48202aa
Download URL:
https://rosap.ntl.bts.gov/view/dot/17131/dot_17131_DS1.pdf
File Type:

Supporting Files

• No Additional Files

More +