Reliability-based safety evaluation of the BISTOON historic masonry arch bridge

Majid Pouraminian, Somayyeh Pourbakhshian, Ehsan Noroozinejad Farsangi, Sevil Berenji, Salman Keyani Borujeni, Mirhasan Moosavi Asl, Mehdi Mohammad Hosseini

Research output: Contribution to journalArticlepeer-review

Abstract

This research examines the probabilistic safety assessment of the historic BISTOON arch bridge. Probabilistic analysis based on the Load-Resistance model was performed. The evaluation of implicit functions of load and resistance was performed by the finite element method, and the Monte-Carlo approach was used for experiment simulation. The sampling method used was Latin Hypercube. Four random variables were considered including modulus of elasticity of brick and infilled materials and the specific mass of brick and infilled materials. The normal distribution was used to express the statistical properties of the random variables. The coefficient of variation was defined as 10%. Linear behavior was assumed for the bridge materials. Three output parameters of maximum bridge displacement, maximum tensile stress, and minimum compressive stress were assigned as structural limit states. A sensitivity analysis for probabilistic analysis was performed using the Spearman ranking method. The results showed that the sensitivity of output parameters to infilled density changes is high. The results also indicated that the system probability of failure is equal to p(f)(system) = 1.55x10(-3). The bridge safety index value obtained is beta' = 2.96, which is lower than the recommended target safety index. The required safety parameters for the bridge have not been met and the bridge is at the risk of failure.
Original languageEnglish
Pages (from-to)87-110
Number of pages24
JournalCivil and Environmental Engineering Reports
Volume30
Issue number1
DOIs
Publication statusPublished - 2020

Open Access - Access Right Statement

© 2020 Majid Pouraminian et al., published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License ((https://creativecommons.org/licenses/by-nc-nd/3.0/).

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