| Modified Hamiltonian Monte Carlo‐based Bayesian finite element model updating of steel truss bridge S Baisthakur, A Chakraborty Structural Control and Health Monitoring 27 (8), e2556, 2020 | 20 | 2020 |
| Enhancing the reliability of floating offshore wind turbine towers subjected to misaligned wind-wave loading using tuned mass damper inerters (TMDIs) B Fitzgerald, J McAuliffe, S Baisthakur, S Sarkar Renewable Energy 211, 522-538, 2023 | 13 | 2023 |
| Experimental verification for load rating of steel truss bridge using an improved Hamiltonian Monte Carlo-based Bayesian model updating S Baisthakur, A Chakraborty Journal of Civil Structural Health Monitoring 11 (4), 1093-1112, 2021 | 13 | 2021 |
| Impact of Sources of Damping On the Fragility Estimates of Wind Turbine Towers S Baishthakur, V Pakrashi, S Bhattacharya, B Fitzgerald ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg, 1-47, 2024 | | 2024 |
| Physics-Informed Neural Network surrogate model for bypassing Blade Element Momentum theory in wind turbine aerodynamic load estimation S Baisthakur, B Fitzgerald Renewable Energy, 120122, 2024 | | 2024 |
| A Machine Learning Approach to Wind Turbine Fragility Analysis: An IEA-15MW Case Study S Baisthakur, J McAuliffe, B Fitzgerald | | |
| A study of wind-wave misalignment for the Irish coastline and its effect on the wind turbine response S Baisthakur, B Fitzgerald | | |
Breiffni FitzgeraldTrinity College DublinVerified email at tcd.ie
