The Research Group on „Structural Intelligence and Reliability“ is working on numerical simulation approaches of structures and processes under consideration of uncertainty. In addition to stochastic approaches, polymorphic uncertainty models are investigated to combine aleatory and epistemic uncertainty. For simulation based reliability predictions of complex structures and processes, model reduction techniques are developed especially based an Artificial Neural Networks and the Proper Orthogonal Decomposition. The Research Group is also working on optimization approaches for robust and durable reinforced concrete and fiber reinforced concrete structures.
Reliability-based structural performance assessment considering polymorphic un-certainties of reused concrete elements
Subproject A05 of the DFG Collaborative Research Center 1683 "Interaction Methods for the Modular Reuse of Existing Load-Bearing Structures"
SFB 1683 - Subproject A05
Process-Oriented Simulation Models for Mechanized Tunneling (finished)
Subproject C1 of the DFG Collaborative Research Center 837 „Interaction Modeling in Mechanized Tunneling“
SFB 837 - Subproject C1
Optimization Approaches for Robust and Durable Reinforced Concrete and Fibre Concrete Structures under Consideration of Scale Bridging Polymorphic Uncertainty Modelling (finished)
Subproject 6 of the DFG Priority Program 1886 „Polymorphic Uncertainty Modelling for the Numerical Design of Structures“
SPP 1886 - Subproject 6
Fusion of Machine Learning and Numerical Simulation for Real-Time Steering in Mechanized Tunneling (finished)
MERCUR-Project (in cooperation with the Chair of Artificial Intelligence at TU Dortmund)
MERCUR-Project