Probabilistic modelling of buildings as networks
Structural Safety, 125, 102783
Represents compartments and their interactions as a network and derives a risk-equivalence criterion for segmentation.
Research stream
Reliability and robustness
How do systems perform and withstand damage?
Components interact to shape system behaviour. We study how these interactions influence reliability and robustness. Our work connects material and connection behaviour to structures and networks, examining how redundancy, segmentation, and ductility influence failure and damage propagation.
Questions we study
How does local damage spread?
Experiments and mechanical models connect component failure, changing structural geometry, and subsequent impacts to the extent of collapse.
What makes a system robust?
We develop probabilistic representations and robustness measures that distinguish initial failure from the consequences of damage propagation.
How should performance be assessed?
Our work examines target reliabilities, robustness thresholds, and design checks under normal, accidental, and malicious actions.
Methods
- Mechanics and experiments
- Nonlinear dynamic analysis
- Probabilistic system models
Selected publications
All publicationsOn the quantification of robustness and its thresholds
Structural Safety, 120, 102688
Develops an entropy-based robustness index and thresholds that give calculated values an interpretable meaning.
Modelling progressive collapse of timber buildings
Structures, 62, 106279
Combines connection behaviour, member separation, and debris impacts to follow collapse beyond the first failure.