In this compilation, the contributions published as extended abstracts of the 16th International Probabilistic Workshop 2018 in Vienna are collected. This article is also published in the Wiley Online Library (WOL) at https://doi.org/10.1002/best.201800059.
In addition to these Extended Abstracts, all contributions can be found online as a Full Paper on the same doi in the corresponding and so called Supporting Information.
The article presents the development of a SHM (Structural Health Monitoring) strategy intended to confirm the improvement of the load-bearing capacity of a bridge over the Ružín Dam using static and dynamic load tests, as well as numerical simulations. The paper comprises measurements of the global response of the bridge to prepare a verified and validated FEM (Finite Element Method) model. A complex measuring system used for the tests consisted of two main parts: an interferometric IBIS-S (Image by Interferometric Survey-Structures) radar and a multichannel vibration and strain data logger. Next, structure–vehicle interactions were modelled, and non-linear numerical dynamic analyses were performed. As a result, the time histories of displacements of the structure from traffic effects were obtained. Their comparison with IBIS-S radar records proves that this method can be effectively used for assessing bridges subjected to common traffic loads. The results (measured accelerations) obtained by local tests in external pre-stressed cables are presented and a convenient method for acquiring the axial force in the cables is proposed.
The use of radar interferometry to measure dynamic response is now increasingly popular. The main advantage is a measurement of displacements. In this way, we obtain direct design parameters. Interferometric radar provides a cost-effective way to monitor bridges based on dynamic displacement measurement without traffic restrictions. The advantages and disadvantages are discussed. Comparing the numerical result with the test data provides a valuable opportunity to define a useful performance indicator.
Structural health monitoring (SHM) can provide information needed to make important decisions regarding the maintenance of bridge structures. However, the data collected from monitoring needs to be first translated into actionable, quantitative or qualitative based characteristics, that indicate the condition of a bridge. This paper presents a process of evaluation of such performance indicator in case of a steel railway bridge using the updated FE model and in-situ measurements of strains on selected stringers and floorbeams.
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