17 citations · 19 across the 5 of their papers we have counts for
5 papers
A hierarchical Bayesian approach for population-based structural health monitoring in ship hull structures
Georgios Aravanis, Nicholas Silionis, Jacopo Bardiani +3
Structural health monitoring (SHM) strategies involve the processing of structural response data to indirectly assess an asset's condition. These strategies can be enhanced for a g…
Value of Information-based assessment of strain-based thickness loss monitoring in ship hull structures
Nicholas E. Silionis, Konstantinos N. Anyfantis
Recent advances in Structural Health Monitoring (SHM) have attracted industry interest, yet real-world applications, such as in ship structures remain scarce. Despite SHM's potenti…
On decision-theoretic model assessment for structural deterioration monitoring
Nicholas E. Silionis, Konstantinos N. Anyfantis
As data from monitored structures become increasingly available, the demand grows for it to be used efficiently to add value to structural operation and management. One way in whic…
Surrogate modeling for stochastic crack growth processes in structural health monitoring applications
Nicholas E. Silionis, Konstantinos N. Anyfantis
Fatigue crack growth is one of the most common types of deterioration in metal structures with significant implications on their reliability. Recent advances in Structural Health M…
Conditional deep generative models as surrogates for spatial field solution reconstruction with quantified uncertainty in Structural Health Monitoring applications
Nicholas E. Silionis, Theodora Liangou, Konstantinos N. Anyfantis
In recent years, increasingly complex computational models are being built to describe physical systems which has led to increased use of surrogate models to reduce computational c…