The local response function method for the stress history prediction of the Vänersborg Bridge

Monitoring stress or strain histories at critical locations on bridges is often a challenging task. To overcome this challenge, precise numerical multi-scale models are essential for evaluating damage severity. This study introduces an innovative surrogate model approach, employing the local response function method, to precisely predict stress time histories in crucial regions of bridges. The methodology is validated through direct strain measurements taken from a railway bridge in Vänersborg, Sweden, which is equipped with accelerometers, strain gauges, and incli-nometer sensors. The findings affirm the reliability of the method in predicting stress levels in specific bridge areas, providing valuable insights into potential fatigue or corrosion damage in the absence of directly measured data.