Author:
Publisher: Transportation Research Board
ISBN: 0309129338
Category : Technology & Engineering
Languages : en
Pages : 96
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Book Description
" TRB's second Strategic Highway Research Program (SHRP 2) Report S2-R06A-RR-1: Nondestructive Testing to Identify Concrete Bridge Deck Deterioration identifies nondestructive testing technologies for detecting and characterizing common forms of deterioration in concrete bridge decks.The report also documents the validation of promising technologies, and grades and ranks the technologies based on results of the validations.The main product of this project will be an electronic repository for practitioners, known as the NDToolbox, which will provide information regarding recommended technologies for the detection of a particular deterioration. " -- publisher's description.
Author: William Michael Moore
Publisher:
ISBN:
Category : Concrete bridges
Languages : en
Pages : 44
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Book Description
Author: Charles E. Smith
Publisher:
ISBN:
Category : Concrete
Languages : en
Pages : 30
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Book Description
The three most widely used current methods for detecting deterioration of concrete bridge decks associated with spalling were compared with a visual inspection of the reinforcing steel and to each other in order to determine the degree of agreement among the methods. The three methods are known as the Chain Drag Method, Measurement of Corrosion Potentials, and the Hammer Method. On a bridge scheduled for deck replacement, each of the methods was used to designate the areas of deck to be removed and the results were compared with the findings of a visual inspection of the rebar. It was concluded that the three techniques were practical and effective. However, in order to ensure that a high percentage of deteriorated areas are located, two of the detection methods should be used and the areas indicated by both methods should be removed.
Author: T. Masliwec
Publisher: [Downsview] : Research and Development Branch, Ontario Ministry of Transportation
ISBN:
Category : Bridges
Languages : en
Pages : 57
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Book Description
Author: Thomas H. Wenzel
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 94
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Book Description
Author: Alvin Harold Meyer
Publisher:
ISBN:
Category : Concrete bridges
Languages : en
Pages : 20
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Book Description
Author: Herbert N. Swanson
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 50
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Book Description
Author: Kenneth R. Maser
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 32
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Book Description
Author: Khossrow Babaei
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 428
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Book Description
Author: Aqeed Mohsin Chyad
Publisher:
ISBN:
Category : Concrete bridges
Languages : en
Pages : 138
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Book Description
Bridges are key elements in the US transportation system. There are more than six hundred thousand bridges on the highway system in the United States. Approximately one third of these bridges are in need of maintenance and will cost more than $120 billion to rehabilitate or repair. Several factors affect the performance of bridges over their life spans. Identifying these factors and accurately assessing the condition of bridges are critical in the development of an effective maintenance program. While there are several methods available for condition assessment, selecting the best technique remains a challenge. Therefore, developing an accurate and reliable model for concrete bridge deck deterioration is a key step towards improving the overall bridge condition assessment process. Consequently, the main goal of this dissertation is to develop an improved bridge deck deterioration prediction model that is based on the National Bridge Inventory (NBI) database. To achieve the goal, deterministic and stochastic approaches have been investigated to model the condition of bridge decks. While the literatures have typically proposed the Markov chain method as the best technique for the condition assessment of bridges, this dissertation reveals that some probability distribution functions, such as Lognormal and Weibull, could be better prediction models for concrete bridge decks under certain condition ratings. A new universal framework for optimizing the performance of prediction of concrete bridge deck condition was developed for this study. The framework is based on a nonlinear regression model that combines the Markov chain method with a state-specific probability distribution function. In this dissertation, it was observed that on average, bridge decks could stay much longer in their condition ratings than the typical 2-year inspection interval, suggesting that inspection schedules might be extended beyond 2 years for bridges in certain condition rating ranges. The results also showed that the best statistical model varied from one state to another and there was no universal statistical prediction model that can be developed for all states. The new framework was implemented on Michigan data and demonstrated that the prediction error in the combined model was less than each of the two models (i.e. Markov and Lognormal). The results also showed that average daily traffic, age, deck area, structure type, skew angle, and environmental factors have significant impact on the deterioration of concrete bridge decks. The contributions of the work presented in this dissertation include: 1) the identification of the significant factors that impact concrete bridge deck deterioration; 2) the development of a universal deterioration prediction framework that can be uniquely tailored for each state’s data; and 3) supporting the possibility of extending inspection schedules beyond the typical 2-year cycles. Future work may involve: 1) evaluating each of the factors that impact the deterioration rates in more depth by refining the investigation ranges; 2) investigating the possibility of revising the regular bridge deck inspection intervals beyond the 2-year cycles; and 3) developing deterioration prediction models for other bridge elements (i.e. superstructure and substructure) using the framework developed in this dissertation.
