Chair of Structural Analysis
We research and teach how civil structures deform, support and react - from everyday structures to modern, intelligent systems. The Chair of Structural Analysis combines theoretical principles, numerical simulations, experiments and data-based methods to open up new paths for the construction of the future.
Research profile
Data-driven modeling and identification
Our research focuses on the development of data-driven methods to represent the load-bearing behavior of structures more precisely and efficiently. This makes it possible to significantly accelerate particularly dynamic analyses and to reduce material consumption and workload.
The developed data-driven models are real-time capable and are applied in adaptive vibration control and structural monitoring. Using sensor data, they can be continuously updated to reflect the current condition of the structure, enabling more accurate vibration control and assessment.
Another field of application is real-time hybrid simulation, in which experiments are coupled with computational simulations to conduct dynamic tests on structural components.
We are also developing data-driven approaches for material modeling and parameter identification to gain new insights into nonlinear material behavior.
Main research areas
- Dynamic structural analysis
- Vibration control and structural monitoring
- Real-time hybrid simulations
- Material modeling
Publications
A list of the most recent publications
Semi-active omnidirectional liquid column vibration absorber with rapid frequency adjustment capability
Semi-active omnidirectional liquid column vibration absorber with rapid frequency adjustment capability
Feedforward neural network-assisted parameter identification and tuning for uniaxial superelastic shape memory alloy models under dynamic loads
Feedforward neural network-assisted parameter identification and tuning for uniaxial superelastic shape memory alloy models under dynamic loads
Multiscale fluid-structure coupled real-time hybrid simulation of monopile wind turbines with vibration control devices
Multiscale fluid-structure coupled real-time hybrid simulation of monopile wind turbines with vibration control devices
Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests
Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests
Contact the chair
Postal address
University of Siegen
School of Science and Technology
Department of Civil Engineering
Chair of Structural Engineering
Paul-Bonatz-Str. 9-11
57076 Siegen, Germany
Visitor address
University of Siegen
Chair of Structural Analysis
Campus Paul-Bonatz-Straße (PB)
Building A, Room 112
Paul-Bonatz-Str. 9-11
57076 Siegen, Germany
