by Purdue University Dept. of Civil Engineering, Available through the National Technical Information Service] in West Lafayette, Ind, [Springfield, Va .
Written in English
|Statement||Luh-Maan Chang, Yassir Abdelrazig, and Chen Po-Han.|
|Contributions||Abdelrazig, Yassir., Chen, Po-Han., United States. Federal Highway Administration., Indiana. Dept. of Transportation., Purdue University. Dept. of Civil Engineering., Joint Transportation Research Program (Ind.)|
|LC Classifications||TG380 .C44 2000|
|The Physical Object|
|Pagination||ix, 181 p. :|
|Number of Pages||181|
|LC Control Number||00457104|
Quality assurance includes design and planning, sampling, inspection, testing, and assessment to ensure that end products perform according to specifications. This research proposes a new quality assessment model for highway steel bridges and more specifically for coating rust assessment. Efficient image processing methods are also essential for the successful implementation of steel bridge coating warranty contracting where the owner, usually a state agency, and the contractor inspect steel bridge coating conditions regularly and decide whether additional maintenance actions are needed based on the processed by: 8. necessity for research and development for more reliable, objective and efficient bridge inspection methods. Under these circumstances, NEXCO-West has been applying innovative bridge condition assessment technology using infrared thermography and digital concrete surface imaging technology for its bridge structures. For many structures, the easiest first step in trying to understand its condition is to take a good look. Often more detailed investigations are required really to characterise the behaviour and performance, enabling assessment of performance against design models, .
Most acquired steel bridge coating images are classified into two groups, defect and non-defect, by naked eyes or using the method reported in Lee's work . This application originated from a painting warranty contract, which specified that both INDOT and the contractor go back to the bridge and conduct paint inspection 2 years after the completion of the painting work. If the defect percentage was above a preset threshold (e.g., 1%), the contractor had to redo the painting work. i a tm /afjpam t echnical m anual headquarters no. departments of the army a ir f orce joint p amphlet and the air force n o. w ashington, dc, 6 december bridge inspection, maintenance, and repair paragraph page c hapter 1. introduction section i. general information. Method: Inspecting the structure with the naked eye to look for potholes, cracks, spalling, etc. Advantages: Is an easy and straightforward approach which does not require training. Disadvantages: While a good starting point for inspecting bridge damage, this approach does not provide a proper assessment of what is happening on the interior of.
A method of detecting and repairing paint defects on a vehicle body (10) is provided, including developing paint defect data using electronic imaging of the vehicle body (S 1), referencing said electronic imaging with vehicle CAD data to develop three dimensional paint defect coordinates for each paint defect (S 2), storing said paint defect data and said paint defect coordinates. non-destructive highway bridge inspection methods using high resolution digital image and infrared thermography technologies. This paper describes the results of a pilot project in Florida performed in conjunction with the University of Central Florida. Introduction Today, proper maintenance and management of deteriorating infrastructure under. Optical imaging provides the ability to visualize atheroma inflammation, calcification, and angiogenesis . For example, the application of a fluorescent VINP for VCAM-1 internalizing nanoparticle was demonstrated to be a sensitive method of optical imaging to noninvasively detect atherosclerotic plaques in apo-E deficient mice . Lee's method works effectively with blue-paint-coated steel bridge images in the State of Indiana, U.S.A. most of previously developed image assessment methods for steel bridge rust inspection.