TY - CONF A1 - Zorn, Sebastian A1 - Unger, Jörg F. T1 - A probabilistic method for identification of vehicle loads and system parameters for reinforced concrete bridges N2 - In this work, a method for vehicle load identification is proposed. It involves Bayesian Analysis and (quasi-)static importance functions in order to estimate vehicle positions, velocities and weights. The structure is modeled with finite elements in order to generate model predictions for different load configurations. The model predictions are compared to the actual measured data to identify the most probable loading configuration for that measurement. This involves the use of enhanced Monte Carlo simulations such as MCMC to reduce the computational effort. T2 - IRF2016 - Integrity Reliability Failure CY - Porto, Portugal DA - 24.07.2016 KW - Model update KW - Load identification KW - Bayesian inference PY - 2016 AN - OPUS4-37062 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -