Coastal and offshore infrastructure experiences complex, uncertain loading from waves, currents, and storm surges. We develop uncertainty quantification frameworks and graph neural operator surrogates to understand and predict structural response under hydrodynamic loading — enabling safer and more resilient civil infrastructure.
Wave loading on coastal and offshore structures is inherently stochastic — wave heights, periods, and directions are uncertain, and small changes can produce large variations in structural response. We develop rigorous uncertainty quantification (UQ) frameworks and graph neural operator (GNO) surrogates to characterise and predict structural response efficiently, without the need for thousands of expensive high-fidelity simulations.
We develop and maintain open-source software tools to support the research community in wave–structure interaction analysis and uncertainty quantification.