System for Bridge Management in a Rural Environment

Gralund, Matthew S.; Puckett, Jay A.

doi:10.1061/(asce)0887-3801(1996)10:2(97)

Cited by 16 publications

(16 citation statements)

References 1 publication

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“…This is referred to as the isotonicity principle. Table 1 shows the list of possible variables that can be considered for the analysis (Gralund and Puckett, 1996;Woodward et al, 2001;Chassiakos et al, 2005;Hai, 2008;Valenzuela et al, 2010). The reasons for exclusion of a particular variable are given under the 'remarks' column of Table 1.…”

Section: Methodsmentioning

confidence: 99%

“…In addition to the bridge health index, the other criteria used for deciding the maintenance priority are: importance of the bridge, deck area of the bridge, the maintenance cost required, traffic volume, age of the bridge, etc. (Gralund and Puckett, 1996;Woodward et al, 2001;Chassiakos et al, 2005;Hai, 2008;Valenzuela et al, 2010). The maintenance priority of bridges is determined on the basis of the availability of information about the aforementioned factors along with the bridge health index.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Load capacity, remaining life, deck width, horizontal and vertical clearances, etc. have been used by different States in the USA for the development of ranking formulae (Gralund and Puckett, 1996). Traffic load, environmental conditions, bridge age, river bed characteristics, foundation and superstructure type have been used by Chassiakos et al (2005) when developing a priority index.…”

Section: Introductionmentioning

confidence: 99%

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Prioritization of bridges for maintenance planning using data envelopment analysis

Wakchaure¹,

Jha

2011

Construction Management and Economics

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Resources-especially funds allotted-for the maintenance of bridges, are generally scanty. Thus, it becomes difficult to select bridges for maintenance from among several competing bridges to ensure their safety and serviceability to the desired level. A bridge health index is considered a reasonably accurate depiction of the condition of a bridge and hence is the basis for most of the decisions on fund allocation. However, it still remains to be seen whether such a decision-making tool results in an efficient fund allocation. From data collected on Indian bridges, it is observed that fund allocation based on bridge condition is not always judicious. Rather, a number of factors affect the final decision on fund allocation. Hence, an alternative approach of data envelopment analysis (DEA) has been used for scoring the efficiency of 14 bridges selected for the study. Depending on the availability of data, this method can take into account other factors besides the bridge health index that influence decisions on maintenance planning. The variables selected for the DEA are: bridge health index, deck area of the bridge, maintenance cost of the bridge, and the age of the bridge. The allocation of funds for the maintenance of bridges based on DEA has proved to be comparatively more efficient. This has been illustrated with the help of a numerical example. The proposed method would enable bridge authorities to formulate better strategies for planning and executing bridge maintenance activities in a cost-effective manner.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prioritization of bridges for maintenance planning using data envelopment analysis

Wakchaure¹,

Jha

2011

Construction Management and Economics

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“…Some systems were also developed at the state and regional levels like those in Texas and Indiana. There were also specific systems developed for bridge management in a rural environment and other situations as described by Gralund and Puckett (1996).…”

Section: Damage Typementioning

confidence: 99%

Serviceability of concrete bridges in Malaysia focusing on susceptibility to atmospheric chloride corrosion

Ismail¹,

Ong²,

Rahman³

2012

Int. J. Phys. Sci.

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This paper identified the common damage types found in concrete bridges with special reference to chloride corrosion from recent inspection results on three concrete bridges owned and operated by three different organizations in Malaysia. The approach was to determine the serviceability of the concrete bridges resulting from deterioration and damage. The causes and resulting impact on serviceability were presented and methods to minimize the impact were proposed. Inspection standards, types of deterioration, methods to determine the extent of the deterioration and damage were studied and compared between the three examples. Chloride attacks were found to be a common natural cause for deterioration. Quality of construction materials and structural design were found to be in other areas which could be improved. The state of serviceability of the cases was average. More frequent scheduled inspections by skilled inspectors and proper maintenance work would further improve the overall management of these bridges.

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“…Bridges or projects are then ranked according to the values of these indices, which determines the priority of each project [5]. The FHWA sufficiency rating is computed using the structural-condition rating from the inspection reports of bridge components and other related information [6]. The sufficiency rating procedure is a method of evaluating highway bridge condition data by calculating four separate factors − structural adequacy and safety, serviceability and functional obsolescence, essentiality for public use, and special reductions − to obtain a numeric value which is indicative of bridge sufficiency to remain in the service.…”

Section: Performance Predictionmentioning

confidence: 99%

Prediction of Highway Bridge Performance by Artificial Neural Networks and Genetic Algorithms

Tokdemir¹,

Ayvalik²,

Mohammadi³

2000

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Bridge management systems (BMS) comprise various techniques need to help make decisions on the type of works that need to be performed to maintain the serviceability of a bridge and to extend its useful life. These decisions rely on current and future bridge conditions therefore it is essential for a BMS to accurately predict the future bridge performance, or in other words to assess the extent of bridge deterioration. Numerous deterioration models are reported in the literature. Most of these methods were developed using probabilistic approaches ranging from Markovian methods to regression techniques with various levels of detail. While offering mostly marginal improvements, such methods increase the complexity of the procedures and level of expertise needed. Besides, high reliance of these methods on historical data, which are likely to contain missing information, reduces the chances for a reliable model. The ability of learning in Artificial Intelligence (AI) methods provides promising results in modeling and forecasting even in the existence of non-linear complex relationships. Furthermore, easier use of AI tools provided by today's software makes AI methods even more attractive. In this study two AI tools, artificial neural networks (ANN) and genetic algorithms (GA), are utilized to develop models to predict bridge sufficiency ratings using current geometrical, age, traffic, and structural attributes as explanatory variables. Data is acquired from California Department of Transportation through the Internet and it includes 19120 structural bridge components owned and maintained by the State of California. The models developed by both ANN and GA provided promising and interpretable results. ANN models performed better when different models are constructed for different levels of sufficiency ratings. GA models outperformed ANN models while achieving a better goodness of fit even when using the whole data. However, remarkably prolonged training times for GA models might be considered as the only disadvantage for this type of application.

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System for Bridge Management in a Rural Environment

Cited by 16 publications

References 1 publication

Prioritization of bridges for maintenance planning using data envelopment analysis

Prioritization of bridges for maintenance planning using data envelopment analysis

Serviceability of concrete bridges in Malaysia focusing on susceptibility to atmospheric chloride corrosion

Prediction of Highway Bridge Performance by Artificial Neural Networks and Genetic Algorithms

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