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Stochastic failure analysis of the gusset plates in the Mississippi River Bridge

Stochastic failure analysis of the gusset plates in the Mississippi River Bridge

Mahmoodian, Mojtaba, Alani, Amir and Tee, Kong Fah ORCID: 0000-0003-3202-873X (2012) Stochastic failure analysis of the gusset plates in the Mississippi River Bridge. International Journal of Forensic Engineering, 1 (2). pp. 153-166. ISSN 1744-9944 (Print), 1744-9952 (Online) (doi:

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The I-35W Mississippi River Bridge over Minneapolis, Minnesota, collapsed suddenly on August 1, 2007. Previous studies showed that the demand-to-capacity ratio for one of the gusset plates had become extremely high after about 40 years of service of the bridge and therefore, the failure of the gusset plate caused the failure of the whole bridge. A forensic assessment using stochastic reliability analysis is carried out in this research to check whether the collapse of the bridge could have been predicted at the design stage. For this purpose, the probabilities of failure for different types of stresses in the gusset plate are estimated. To consider the uncertainties involved in dead load and live load increments with time, the gamma process concept is employed to model stress increments. It is shown that the probability of failure in the year 2007 was higher than the recommended value. Therefore, it can be concluded that if the results of this study had been available at the design stage, the lack of reliability
in 2007 could have been predicted and the collapse of the bridge and its disastrous consequences could have been prevented. It is also concluded that stochastic reliability analysis can be used as a rational tool for failure analysis and reliability assessment of bridges to prevent the risk of collapse.

Item Type: Article
Additional Information: [1] Published online 19 November 2012.
Uncontrolled Keywords: probabilistic failure analysis; Mississippi river bridge; gusset plates; reliability index; bridge collapses
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TG Bridge engineering
Pre-2014 Departments: School of Engineering > Department of Civil Engineering
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Last Modified: 14 Oct 2016 09:24
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
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