REAL-TIME SETTLEMENT PREDICTION
 Researchers from SFB 837 have developed a solution to predict advancement-based settlements in real time while the tunnel construction is in progress. The decisive factor was to simplify the complex finite element simulation models by implementing fast surrogate models. They did it by combining two model reduction approaches based on Artificial Neural Networks and Proper Orthogonal Decomposition. The uncertain geological parameters that had to be factored in constituted a major challenge. This is because reliable predictions are possible only if the inaccuracies of those parameters are considered. The SFB researchers have already developed high-dimensional real-time prediction approaches for intervals. In the next step, they intend to extend these methods for other uncertainty models, such as fuzzy and stochastic models. Thanks to the real-time capability of the simulation model, an app is currently being designed that can be used by tunnel construction engineers on location.Link |