Model for the Physical Risk Assessment of Bridges with Unknown Foundation

Zayed, Tarek; Minchin, R. Edward; Boyd, Andrew J.; Smith, Gary; McVay, Michael

doi:10.1061/(asce)0887-3828(2007)21:1(44)

Cited by 18 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some of these efforts are described in this paragraph. Zayed et al proposed and developed a risk index to assist bridge managers in the risk assessment and prioritization of bridges with unknown foundations (1). Seville and Metcalfe assessed the risk of road closures for the New Zealand state highway network and suggested a framework that used a walk-through scenario approach, in which hazard events in New Zealand were randomly simulated over a period of time through geographic information system analysis (2).…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling Hurricane Hazards and Damage on Florida Bridges

Sobanjo

Thompson

Kerr

2013

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

The state of Florida is developing a risk-based decision support model, specifically for its state-maintained bridges, to handle the occurrence of natural hazards, such as hurricanes, tornadoes, floods, landslides, and wildfires. Many bridges in Florida are vulnerable to damage caused by these hazards. With a focus on hurricanes, this paper develops prediction models (estimates of likelihoods) based on historical data of hazard events in Florida, as well as on existing national models. The Poisson process was assumed for the occurrence of natural events; predictions were estimated for the annual probability of occurrence. It was observed that, on average, the probability of hurricane occurrence at bridge locations decreased with the hurricane intensity (category number). In comparison, wildfires, another common hazard, had the highest likelihood estimates of the natural hazards. With a focus on physical damage to bridges, the consequences of hurricanes were also estimated on the basis of historical data within Florida. The damaged bridge components and elements were identified, and the levels of damage and the associated repair costs were assessed.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Modeling Hurricane Hazards and Damage on Florida Bridges

Sobanjo

Thompson

Kerr

2013

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…In view of the large-area caisson structure, complex foundation soil characteristics and other factors that lead to outstanding risks in the construction of large bridge caisson foundations, Shi et al [15] adopted the WBS-RBS (Work Breakdown Structure-Risk Breakdown Structure) method to identify the risks during the construction period of the caisson foundation of large bridges, then supplemented and adjusted risk sources based on expert survey opinions, and proposed targeted control countermeasures for risk sources. Zayed et al [16] proposed a risk index (R) to assess risk and prioritized bridges with unknown foundations. Primary risk parameters and their factors for bridges with unknown foundations were identified and analyzed and a model for calculating R was designed.…”

Section: Introductionmentioning

confidence: 99%

Study on Identifying Significant Risk Sources during Bridge Construction Based on Grey Entropy Correlation Analysis Method

Wang¹,

Lu²,

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Nowadays, many methods have been used in the identification of bridge risk sources, and certain results have been achieved. However, the research on the identification of significant risk sources of bridges during the construction period is relatively weak, and these methods still have some defects, such as the correlation between risk sources is not considered comprehensively, the dynamic risk sources are not fully considered, and the weight assignment is highly subjective. In order to solve these problems, this paper comprehensively uses the combination of expert scoring method, fuzzy analytic hierarchy process (F-AHP), and grey entropy correlation analysis (GECA) to identify significant risk sources during bridge construction. Firstly, the F-AHP and expert scoring method are used to initially identify safety sources during the bridge construction period, which effectively considers the identification of dynamic risk sources. Secondly, the combination of the GRA method and EW method is applied to identify the significant risk sources during bridge construction period, which can effectively analyze the interrelationship between different factors and greatly reduce the interference of subjective factors in the weight assignment, so as to effectively control the risks in construction and protect the health of the bridge structure and property losses. Finally, the feasibility and rationality of the proposed method were verified by comparing the AHP and GECA proposed in this paper in combination with specific engineering examples, which provides a reference basis for the identification of significant risk sources during the follow-up bridge construction period.

show abstract

“…Zayed et al (9) proposed a risk index ''R'' for the assessment of risk and prioritization of certain bridges for which the foundation information is not known. Remaining life, scour and seismic factors are taken into account, and analytical hierarchy process and utility theory methodologies are incorporated with risk indexes into the data collected from 10 bridges in Florida, Indiana, and New York States.…”

Section: Introductionmentioning

confidence: 99%

“…Remaining life, scour and seismic factors are taken into account, and analytical hierarchy process and utility theory methodologies are incorporated with risk indexes into the data collected from 10 bridges in Florida, Indiana, and New York States. The developed model provides a tool for the evaluation and prioritization of bridges with unknown foundation information ( 9 ).…”

Section: Introductionmentioning

confidence: 99%

Is Additive Utility Function Always a Sufficient Method in the Project Prioritization Process? Bridge Management Perspective

Kalan

Kurkcu

Özbay

2019

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

The prioritization of maintenance activities in bridges has great importance in bridge asset management systems as they are mentioned in MAP-21. One of the most commonly used prioritization methodologies in bridge management systems is multi-attribute utility theory process. In this study, the problem is defined as using the additive functional form in this process without testing additive independence (AI) assumption, which is one of the properties of multi-attribute utility theory. This study aims to emphasize the strength of the use of multiplicative functional forms when the multiplicative form is proven to be more appropriate by AI assumption test. To demonstrate this vital point, mathematical expressions are derived for the feasible regions of indifference curves. Then, the optimum region for both additive and multiplicative approaches are calculated using these analytical expressions to demonstrate the difference between the two relation to maximizing utility. This comparison is aimed at preventing suboptimal decisions because of the use of the additive approach when the multiplicative approach is more representative of the actual decision-making process. The relevance of this claim is also demonstrated using a simple hypothetical scenario. Findings of the paper provide valuable insights to decision makers and policy makers about the importance of choosing the most appropriate functional form for utility functions employed in a prioritization. We hope that policy makers at state departments of transportation will use the comparative analysis of the effect of utility functions on the final project selection process presented in this paper as part of their routine decision-making process.

show abstract

Model for the Physical Risk Assessment of Bridges with Unknown Foundation

Cited by 18 publications

References 8 publications

Modeling Hurricane Hazards and Damage on Florida Bridges

Modeling Hurricane Hazards and Damage on Florida Bridges

Study on Identifying Significant Risk Sources during Bridge Construction Based on Grey Entropy Correlation Analysis Method

Is Additive Utility Function Always a Sufficient Method in the Project Prioritization Process? Bridge Management Perspective

Contact Info

Product

Resources

About