Fatigue reliability assessment and life-cycle cost analysis of roadway bridges equipped with weigh-in-motion systems

Sacconi, Stefano
Venanzi, Ilaria
Ierimonti, Laura
Torti, Michela
Laflamme, Simon
Ubertini, Filippo
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Taylor & Francis
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Civil, Construction and Environmental EngineeringElectrical and Computer EngineeringCenter for Nondestructive Evaluation
The fatigue safety assessment of critical details in steel bridges is dominated by several uncertainties mainly related to load modelling. The use of integrated weigh-in-motion (WIM) systems in roadway bridges allows to collect all the necessary information for tracking actual traffic conditions. Based on WIM data, the uncertainty associated to the evaluation of the probability of fatigue failure is reduced, allowing the optimal scheduling of repair and maintenance activities and thus improving safety and economic savings. The paper presents a methodology for estimating fatigue life cycle cost (LCC) of roadway bridges equipped with a WIM system that considers uncertainties in measurement and modelling errors. The procedure allows the quantification of the economic gain enabled by WIM systems, useful in assessing the cost/accuracy trade-off for a given WIM system. It is found that the continuous use of a WIM system may improve the rate of decrease of the structural reliability index, compared with temporally limited use of WIM data. The periodic update of the reliability index and of the probability of failure based on WIM measurements results in a rather accurate estimation of the fatigue life cycle cost, which is crucial in identifying the payback time of the WIM system.
This is an Accepted Manuscript of an article published by Taylor & Francis in Structure and Infrastructure Engineering on January 5, 2022. It is available online at DOI: 10.1080/15732479.2021.2023589. Copyright 2022 Informa UK Limited, trading as Taylor & Francis Group. Posted with permission.
fatigue, reliability, weigh in motion, life-cycle cost, bridges, probability of failure, measurement accuracy, traffic model