4 results
Develop a scaled-boundary computational framework for dynamic nonlinear analysis of large structures. The project integrates digital geometric modelling with computational mechanics to produce robust, automated simulation methods and software. The associate works with Professor Chongmin Song and academic colleagues. This 12-month full-time appointment…
The project develops acoustic sensors based on nanofiber composite films for structural health monitoring. Research covers fabrication, electromechanical and optical or thermal characterization, electronics and data acquisition, moving from materials to working sensing prototypes. Applications close on 17 November 2026 at 23:59 US Eastern time.
Closes
Develop Bayesian calibration methods that explicitly represent model error in structural dynamics. The PLATON team will compare informative calibration quantities, implement and benchmark algorithms, and accelerate inference with surrogate models. The work aims to improve finite-element predictions under uncertain material, boundary and loading conditions.…
Closes
Develop uncertainty-aware tunnel condition assessment from images, video, sensors and repeated three-dimensional scans. Fuse deterioration evidence through hierarchical Bayesian models, represent evidence quality and integrate indicators into a digital-twin prototype. The project includes underground inspection and validation with Hagerbach Test Gallery and…
End of results.