Quantifying multi-hazard resilience
Resilience assessment for buildings and infrastructure — what happens to a structure when hazards arrive in sequence, computed across a whole parameter space rather than one case at a time.
01
When a building's use changes — an office floor becomes storage — mass irregularity appears where the original designer never accounted for it. This quantifies what that does to seismic vulnerability.
02
A fragility curve shows how failure probability grows with intensity, but it does not say which of two structures is more vulnerable. This condenses the whole curve into a single index so structures can be ranked for mitigation priority.
03
The seafloor decides how hard the water hits. Wave and bathymetric parameters are varied systematically to show how much the force reaching a building changes with the shape of the approach.
Interactive
A subduction earthquake shakes a structure; the tsunami that follows floods it. The water meets a frame the shaking has already weakened, so assessing the hazards separately understates the risk. Earthquake and tsunami are the cases shown here — the method takes any demands that can be varied.
Computes fragility surfaces directly, using a first-order reliability search in place of brute-force simulation. Built in Python and MATLAB.
What feeds the tool from the field: sensors on aging infrastructure, multi-sensor fusion, and applied AI — deep-learning image processing for damage detection.
Buildings and bridges — from foundations up. Load capacity, structural behaviour, and the drawings that carry a design into construction.
Establishing what a structure is exposed to and planning the response — including mitigation studies for climate resilience. The practice side of the question the research answers.
What happens to structures already standing, and to designs already being built — assessing existing conditions in the field, and answering the questions construction raises.
Where the work is done, and where it was learned.
