A 576 m long creep and shrinkage specimen – Long‐term deformation of a semi‐integral concrete bridge with a massive solid cross‐section

Abstract

For creep and shrinkage investigations, relatively small cylindrical specimens are generally exposed to constant climatic conditions. The derived mainly empirical prediction models are used for the calculation of large engineering structures with massive cross‐sections. In this paper, the expected values of the material models according to fib Model Code 2010 and Eurocode 2 are compared with monitoring data, which were acquired over a period of more than 12 years during a structural health monitoring of a large viaduct. It was found that in addition to the measured continuous increase in the viscous deformations, seasonal fluctuations due to climatic influences could also be detected. The numerical calculations show that the material models differ significantly in their magnitude and time course of the predicted viscous concrete deformations. In comparison with the monitoring data, a good agreement was achieved when using the material models according to Eurocode 2. The models of the fib Model Code 2010, on the other hand, underestimated the deformations of the massive bridge girder.

Crack monitoring on concrete structures: Comparison of various distributed fiber optic sensors with digital image correlation method

“…period of time while maintaining the same level of safety, the concept of the digital twin [2][3][4] gains popularity in the construction industry. In digital twins, structural health monitoring (SHM) [5][6][7][8] serves as the most important link between the real object and its virtual representation, allowing structures to be monitored in near real time and also a prediction of their condition can be made. 9,10 Measurement errors 11 and influences from aging measurement systems 12 can negatively affect the quality of the monitoring data and must therefore be corrected automatically.…”

openLAB – Eine Forschungsbrücke zur Entwicklung eines digitalen Brückenzwillings

“…SHM umfasst die kontinuierliche messtechnische Überwachung einer Struktur über einen bestimmten Zeitraum, bei der schädigungsrelevante Merkmale aus den Messdaten extrahiert und analysiert werden [17]. Je nach Aufgabenstellung wird zwischen Kurzzeitmonitoring (über Minuten bis wenige Tage), Langzeitmonitoring (über Wochen, Monate oder wenige Jahre) und Dauermonitoring (permanent über die gesamte Nutzungsdauer des Bauwerks) unterschieden [18][19][20][21].…”

Crack monitoring on concrete structures with distributed fiber optic sensors—Toward automated data evaluation and assessment

“…sp.delete_cracks (3,4) sp.add_cracks (3.7) The cracks are recalculated by default after modifying the list of cracks. If the peak recognition is faulty in general, readjusting the parameters for pre-processing and peak finding might be necessary.…”

“…Compensatory measures must be taken, as compromises neither in safety nor availability are acceptable. Great potential for this purpose—with the option for integration into the current risk management—is seen in SHM 3–6 …”

“…Great potential for this purpose-with the option for integration into the current risk management-is seen in SHM. [3][4][5][6] The RAYLEIGH-scattering based coherent optical frequency domain reflectometry is a distributed strain sensing (DSS) technology, which makes quasi-continuous strain measurements with high spatial resolution over extended ranges possible. 3,[7][8][9][10] Small in size, lightweight and cost-effective, distributed fiber optic sensors (DFOS) are a promising sensing technique for deployment on site.…”