TY - CONF A1 - Küttenbaum, Stefan A1 - Braml, T. A1 - Taffe, A. A1 - Maack, Stefan A2 - Li, J. A2 - Spanos, D. A2 - Chen, J. B. A2 - Peng, Y. B. T1 - Towards NDT-supported decisions on the reliability of existing bridges T2 - Proc. of the 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021-2022) N2 - A major advantage in the reassessment of existing structures is the possibility of including measured data that describe the actual properties and the current condition of the structure to be reassessed. Currently, the incorporation of such measured information is mostly unregulated. However, the use of measurement results is vitally important, since a measured data-based improvement of the computation models level of approximation can lead at least to more meaningful results, possibly to extended remaining life times of the structure and in the best case to a saving of resources. Conversely, not appreciating well measurable and relevant information can be equated with a waste of resources. In this paper, a concept for the comparable use of non-destructively measured data as basic variables in probabilistic reliability assessments is outlined and examined using a typical prestressed concrete road bridge as a case-study. An essential requirement is the calculation of measurement uncertainties in order to evaluate the quality of the measurement results comparably. In conclusion, the example of ultrasonic and radar measurement data is used to demonstrate the effects that the incorporation of the measured information has on the reliability of the structure. T2 - 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021-2022) CY - Online meeting DA - 13.09.2022 KW - Measurement uncertainty KW - Reliability assessment KW - Existing structures KW - Concrete Bridge KW - Non-Destructive Testing (NDT) PY - 2023 UR - https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/58301 AN - OPUS4-58301 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-583013 SP - 1 EP - 10 AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany