TY - JOUR A1 - Zorn, Sebastian A1 - Unger, Jörg F. T1 - Probabilistic traffic load identification for concrete bridges N2 - In this work, a probabilistic framework for identification of traffic loads on concrete Bridge structures is presented using data from a FE structural model in combination with a finite volume approach for traffic load modelling. The identification approach uses Bayesian Inference to identify traffic loads from measured sensor data from travelling load experiments performed at BAM. The work focuses on the load identification part of the Framework utilizing global structural response measurements only. The obtained information on traffic loads can be forwarded to further analysis such as fatigue and structure state estimation or model updating. T2 - IRF2018, Proceedings of the 6th International Conference on Integrity-Reliability-Failure CY - Lisbon, Portugal DA - 22.07.2018 KW - Concrete bridges KW - Traffic loads KW - FE modelling KW - Risk analysis PY - 2018 SN - 978-989-20-8313-1 VL - 06 SP - Paper 7121, 521 EP - 522 PB - INEGI-Instituto de Ciência e Inovação em Engenharia Mecânica e Gestão Industrial CY - Portugal AN - OPUS4-48981 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -