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Mohamadreza Sheibani
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Year
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
492020
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
92020
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
82021
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
52021
Effective learning of post-seismic building damage with sparse observations
M Sheibani, G Ou
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020
52020
Guided post-earthquake reconnaissance surveys considering resource constraints for regional damage inference
M Sheibani, G Ou
Earthquake Spectra 38 (4), 2813-2834, 2022
32022
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
32021
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
32017
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
22022
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
22022
Accelerated Large-Scale Seismic Damage Simulation With a Bimodal Sampling Approach
M Sheibani, G Ou
Frontiers in Built Environment 7, 61, 2021
22021
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
12018
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
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