Advanced Decision Support in the Ontario Bridge Management System

Thompson, Paul D; Ellis, R

doi:10.1061/40492(2000)52

Cited by 9 publications

(6 citation statements)

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“…Other notable studies include Jiang and Rens (4, 5), Jiang (6), Thompson et al (7), Hawk and Small (8), and Thompson and Shepard (9). The BHI is a weighted average of element condition states and uses the failure cost, the repair cost, or other agencydefined weights to summarize the condition of bridge networks for the planning and effective monitoring of bridge programs (10,11).…”

mentioning

confidence: 99%

Bridge Health Index: Study of Element Condition States and Importance Weights

Inkoom

Sobanjo

Thompson

et al. 2017

Transportation Research Record: Journal of the Transportation R

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The AASHTO Pontis bridge management system has been used to support network-level and project-level decision making on the condition and functional obsolescence of bridges. State departments of transportation often develop bridge inspection data collection methods, deterioration models, cost models, and other preservation analysis capabilities to comply with the requirements of the federal Government Accounting Standards Board. The bridge health index (BHI) in the Pontis bridge management system has been used in the evaluation of the condition of bridges and elements at the project and network levels. This paper investigates three issues in the computation of the BHI: the effects of using linear and nonlinear scales for the condition state weights when computing the element health index (EHI); the application of amplification weights to EHI values to emphasize bridge elements in bad condition; and the development of element weights based on element replacement costs, element long-term costs, element vulnerability to hazard risks, and a combination of these measures. Historical condition data from element-based inspection were used to evaluate these effects at the network level.

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mentioning

confidence: 99%

Bridge Health Index: Study of Element Condition States and Importance Weights

Inkoom

Sobanjo

Thompson

et al. 2017

Transportation Research Record: Journal of the Transportation R

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“…Although PONTIS and BRIDGIT were mainly used in the U.S., some other states and provinces in North America such as New York, Indiana, Pennsylvania, North Carolina, Alabama, Florida, Denver, and Ontario have developed their own bridge management systems [3,5,7,[11][12][13][14][15][16][17][18][19][20][21][22].…”

Section: Region Commentsmentioning

confidence: 99%

Identifying the Factors Impacting Bridge Deterioration in the Gulf Cooperation Council

Al-Rashed,

Abdelfatah,

Yehia

2023

Designs

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The deterioration module (DM) is one of the four major modules necessary for any bridge management system (BMS). Environmental conditions, structural systems, bridge configuration, geographic location, and traffic data are some of the major factors that affect the development of deterioration modules. This emphasizes the need for the development of deterioration models that reflect the local conditions. In this article, some of the most important factors that could help in developing deterioration models in the Gulf Cooperation Council (GCC) were identified. The research was conducted in three phases; in the first phase, an extensive literature search was conducted to identify factors adopted in different deterioration models, and in phase two, the most relevant factors to the GCC environment were selected and these factors were further reduced based on input from local bridge experts. The result from the second phase is a list of factors identified by the experts. The identified list was utilized in phase three, which was focused on conducting a survey targeting bridge engineers to help identify the final selection and rank the factors according to their importance level. The results indicate that steel reinforcement protection, design load, chloride attack, type of defect, and age are the most important factors impacting bridge deterioration in the GCC. In addition, the time of rehabilitation; average daily truck traffic, ADTT; and average daily traffic, ADT, are the second most important factors. Factors with medium importance level are deck protection, services under the bridge, and inspection gap. The least important set of factors include temperature and wind load.

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“…Examples are SIB-Bauwerke in Germany (Abram 2003), KUBA-MS in Switzerland (Haller & Bascuro, 2006), DANBRO in Denmark (Henriksen, 1999), Eirspan in Ireland (Duffy, 2004), BridgeLife in Finland (Vesikari, 2006 and2008), Pontis (Robert et al, 2003) and BRIDGIT (Hawk, 1999) in the USA, and Ontario Bridge Management System in Canada (Thompson et al, 1999).…”

Section: Related Workmentioning

confidence: 99%