Computing resources are needed for simulating bridge response using numerical software and machine learning algorithms. The project is connected to three PhD students at the Division of Structural Engineering and Bridges. One part is the simulation of dynamic behaviour under the influence of traffic- and wind-induced loads to estimate the remaining fatigue life. The second is also related to fatigue, but the resistance side, with models based on fracture mechanics. The third project involves working with sensor data to predict degradation and estimate the remaining service life. The computational need is significant in all these parts, with numerical simulation of models with substantial degrees of freedom in combination with long time series and short increments. The data analysis comprises time-series over several years and computationally heavy machine learning models.