Ongoing PhD Projects
Jack Rahbek (PhD Candidate)
“Frequency-Based Fatigue Life Evaluation and Accelerated Testing of Agricultural Mower Structure”
Agricultural machines like mowers experience severe vibrations and cyclic loads during operation and transport, leading to fatigue failures. This project aims to develop efficient and accurate fatigue life prediction methods by combining frequency-domain fatigue evaluation with virtual sensing techniques. The research addresses challenges such as multiaxial and non-proportional stress states, sensor placement limitations, and harsh operating conditions. By leveraging dynamic model updating and accelerometer-based data, the project seeks to reduce large-scale testing and enable faster, more reliable design decisions for agricultural machinery.
This is an Industrial PhD project in collaboration with Kverneland Group Kerteminde A/S and funded by Innovation Fund Denmark
Ongoing Postdoctoral Projects
Jens Kristian Mikkelsen Gudichsen(Postdoctoral researcher)
“Spectral Fatigue Analysis Using Stochastic Substructuring”
This project develops computationally efficient methods for fatigue life prediction in complex welded and manufactured structures under stochastic loading conditions. The approach combines:
- Spectral fatigue analysis to estimate stress spectra and fatigue damage under random excitations.
- Stochastic dynamic substructuring, enabling local-to-global modelling of large structures while accounting for uncertainties in materials, interfaces (welds, 3D-printed joints), and loading.
- Integration of forward physical modelling (stochastic FEM) and inverse identification techniques for design validation.
Applications include ship structures, offshore components, and advanced manufacturing systems, aiming to improve reliability and reduce computational cost in fatigue assessment.
This postdoctoral project is made in collaboration with SDU’s Centre for Large Structure Production and financed by IFD’s Grand Solutions grant “LSP Ship Factory”.