| The development of Gaussian process regression for effective regional post‐earthquake building damage inference M Sheibani, G Ou Computer‐Aided Civil and Infrastructure Engineering, 2020 | 53 | 2020 |
| Rapid seismic risk assessment of structures with Gaussian process regression M Sheibani, G Ou, S Zhe Dynamic Substructures, Volume 4: Proceedings of the 37th IMAC, A Conference …, 2020 | 10 | 2020 |
| Obtaining mass normalized mode shapes of motorway bridges based on the effect of traffic movement M Sheibani, AK Ghorbani-Tanha Structures 33, 2253-2263, 2021 | 9 | 2021 |
| Adaptive local kernels formulation of mutual information with application to active post-seismic building damage inference M Sheibani, G Ou Reliability Engineering & System Safety 215, 2021 | 5 | 2021 |
| Effective learning of post-seismic building damage with sparse observations M Sheibani, G Ou Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 5 | 2020 |
| Guided post-earthquake reconnaissance surveys considering resource constraints for regional damage inference M Sheibani, G Ou Earthquake Spectra 38 (4), 2813-2834, 2022 | 4 | 2022 |
| A Bayesian optimized framework for successful application of unscented Kalman filter in parameter identification of MDOF structures M Sheibani, G Ou Journal of Low Frequency Noise, Vibration and Active Control 40 (4), 1712-1730, 2021 | 3 | 2021 |
| Mass scaling of mode shapes based on the effect of traffic on bridges: A numerical study M Sheibani, AH Hadjian-Shahri, AK Ghorbani-Tanha Dynamics of Civil Structures, Volume 2: Proceedings of the 35th IMAC, A …, 2017 | 3 | 2017 |
| Efficient structural reconnaissance surveying for regional postseismic damage inference with optimal inspection scheduling M Sheibani, Y Wang, G Ou, N Marković Journal of Engineering Mechanics 148 (2), 04021156, 2022 | 2 | 2022 |
| Active Learning of Post-earthquake Structural Damage with Co-optimal Information Gain and Reconnaissance Cost M Sheibani, G Ou Data Science in Engineering, Volume 9: Proceedings of the 39th IMAC, A …, 2022 | 2 | 2022 |
| Accelerated Large-Scale Seismic Damage Simulation With a Bimodal Sampling Approach M Sheibani, G Ou Frontiers in Built Environment 7, 61, 2021 | 2 | 2021 |
| APPLICATION OF TADAS DAMPERS TO IMPROVE THE BEHAVIOR OF STRUCTURES WITH RC SHEAR WALLS SM Zahrai, MR Sheibani Sharif Journal of Civil Engineering 34 (1.1), 3-11, 2018 | 1 | 2018 |
| Data-Driven Building Damage Surrogate Modelling for Effective Regional Post-Earthquake Loss Assessment M Sheibani The University of Utah, 2021 | | 2021 |
| Virtual Earthquake Reconnaissance Team (VERT): Phase 1 Response to M5.7 Magna Earthquake, March 19, 2020 E Fischer, Y Alberto, MO Amini, V Calderon, T Carey, D Chandrasekhar, ... https://doi.org/10.17603/ds2-rp5w-hj05, 2020 | | 2020 |
Ge (Gaby) OuUniversity of Florida在 ufl.edu 的电子邮件经过验证
