同济大学桥梁系桥梁健康监测与振动控制研究室成立于2001年，也是土木工程防灾国家重点实验室的一部分。研究室自成立以来，先后承担了国家自然科学基金，教育部、科技部、交通部、上海市科委、江苏省交通厅以及河北省交通厅等国家级、部省级重大或重点科研课题研究，为解决桥梁工程中的关键技术难题提供了基础理论、方法和技术。

1.    国家自然科学基金青年项目，基于层次贝叶斯理论和人工智能的桥梁结构混合数字孪生方法（编号52208199），2023.1 - 2025.12，主持

2.    上海市海外高层次人才项目，2022.3 – 2024.12，主持

3.    国家自然科学基金面上项目，基于混合监测的桥梁数字化建模（编号52378187），2024.1 - 2027.12，参与

4.    国家自然科学基金面上项目，基于多源残错数据的桥梁网级评估方法（编号52278313），2023.1 - 2026.12，参与

5.    National Offshore Wind Research & Development Consortium, Physics Based Digital Twins for Optimal Asset Management (154719), 2021.1 - 2022.12, 80万美元, 参与

6.    National Science Foundation (NSF), An Adaptive System Identification Approach Using Mobile Sensors (1903972), 2019.6 - 2022.5, 52万美元, 参与

7.    Bureau of Safety and Environmental Enforcement (BSEE), The Block Island Structural Monitoring Joint Project (140E0119C0003), 2020.5 - 2021.12, 60万美元, 参与

8.    United States Geological Survey (USGS), A Hierarchical Bayes Inversion Approach for Site Characterization Using Surface Wave Measurements (G18AP00034), 2018.6 - 2020.5, 8万美元, 参与

9.    National Science Foundation (NSF), CAREER: Probabilistic Nonlinear Structural Identification for Health Monitoring of Civil Structures (1254338), 2013.6 - 2019.5, 40万美元, 参与

1.   国家自然科学基金青年项目，基于层次贝叶斯理论和人工智能的桥梁结构混合数字孪生方法（编号52208199），2023.1 - 2025.12，主持

2.   上海市海外高层次人才项目，2022.3– 2024.12，主持

3.   国家自然科学基金面上项目，基于混合监测的桥梁数字化建模（编号52378187），2024.1 - 2027.12，参与

4.   国家自然科学基金面上项目，基于多源残错数据的桥梁网级评估方法（编号52278313），2023.1 - 2026.12，参与

5.   National Offshore Wind Research &Development Consortium, Physics Based Digital Twins for Optimal AssetManagement (154719), 2021.1 - 2022.12, 80万美元,参与

6.   National Science Foundation (NSF), An AdaptiveSystem Identification Approach Using Mobile Sensors (1903972), 2019.6 - 2022.5,52万美元, 参与

7.   Bureau of Safety and Environmental Enforcement(BSEE), The Block Island Structural Monitoring Joint Project (140E0119C0003), 2020.5- 2021.12, 60万美元, 参与

8.   United States Geological Survey (USGS), AHierarchical Bayes Inversion Approach for Site Characterization Using SurfaceWave Measurements (G18AP00034), 2018.6 - 2020.5, 8万美元, 参与

9.   National Science Foundation (NSF), CAREER:Probabilistic Nonlinear Structural Identification for Health Monitoring ofCivil Structures (1254338), 2013.6 - 2019.5, 40万美元, 参与

1.     Teymouri D, Sedehi O, Song M, Moaveni B,Papadimitriou C, Katafygiotis LS*. Hierarchical Bayesian finite element modelupdating: Optimal weighting of modal residuals with application to FINO3offshore platform. Mechanical Systems and Signal Processing. 2024 Apr1;211:111150.

2.      LuoL, Song M*, Zhong H, He T, Sun L*. Hierarchical Bayesian model updatingof a long-span arch bridge considering temperature and traffic loads. MechanicalSystems and Signal Processing. 2024 Mar 15;210:111152.

3.      SongM, Mehr NP, Moaveni B*, Hines E, Ebrahimian H, Bajric A. One yearmonitoring of an offshore wind turbine: Variability of modal parameters toambient and operational conditions. Engineering Structures. 2023 Dec15;297:117022.

4.      Partovi-MehrN, Branlard E, Song M, Moaveni B*, Hines EM, Robertson A. SensitivityAnalysis of Modal Parameters of a Jacket Offshore Wind Turbine to OperationalConditions. Journal of Marine Science and Engineering. 2023 Jul30;11(8):1524.

5.      SongM, Moaveni B*, Ebrahimian H, Hines E, Bajric A. Joint parameter-inputestimation for digital twinning of the Block Island wind turbine usingoutput-only measurements. Mechanical Systems and Signal Processing. 2023Sep 1;198:110425.

6.      HinesEM*, Baxter CD, Ciochetto D, Song M, Sparrevik P, Meland HJ, Strout JM,Bradshaw A, Hu SL, Basurto JR, Moaveni B. Structural instrumentation andmonitoring of the Block Island Offshore Wind Farm. Renewable Energy.2023 Jan 1;202:1032-45.

7.      Song M, Christensen S, Moaveni B*,Brandt A, Hines E. Joint parameter-input estimation for virtual sensing on anoffshore platform using output-only measurements. Mechanical Systems and Signal Processing. 2022 May 1;170:108814.

8.      MehrjooA, Song M, Moaveni B*, PapadimitriouC, Hines E. Optimal sensor placement for parameter estimation and virtualsensing of strains on an offshore wind turbine considering sensor installationcost. Mechanical Systems and SignalProcessing. 2022 Apr 15;169:108787.

9.      Song M, Renson L*, Moaveni B, KerschenG. Bayesian Model Updating and Class Selection of a Wing-Engine Structure withNonlinear Connections using Nonlinear Normal Modes. Mechanical Systems and Signal Processing. 2022 Feb 15;165:108337.

10.  ZhangY, Lian J, Zhang G, Liu Y, Song M*, Li S. Ground vibrationcharacteristics induced by flood discharge of a high dam: An experimentalinvestigation. Journal of Renewable and Sustainable Energy. 2021 Jan4;13(1):014502.

11.  LiuP*, Huang S, Song M, Yang W. BayesianModel Updating of a Twin-Tower Masonry Structure through Subset SimulationOptimization Using Ambient Vibration Data. Journal of Civil StructuralHealth Monitoring. 2020 Oct 23:1-20.

12.  SongM, Behmanesh I, Moaveni B*, Papadimitriou C. Accounting for Modeling Errorsand Inherent Structural Variability through a Hierarchical Bayesian ModelUpdating Approach: An Overview. Sensors. 2020 Jan;20(14):3874.

13.  Song M, Astroza R, Ebrahimian H, Moaveni B*, Papadimitriou C. Adaptive Kalmanfilters for nonlinear finite element model updating. Mechanical Systems andSignal Processing. 2020 Sep 1;143:106837.

14.  YousefianmoghadamS, Song M, Mohammadi M, Packard B,Stavridis A*, Moaveni B, Wood RL, Packard B. Nonlinear dynamic tests of areinforced concrete frame building at different damage levels. EarthquakeEngineering & Structural Dynamics. 2020 May 11.

15.  Song M, Behmanesh I, Moaveni B*,Papadimitriou C. Modeling error Estimation and response prediction of a10-Story building model through a hierarchical Bayesian model updatingframework. Frontiers in Built Environment.2019;5:7.

16.  Song M, Moaveni B*, Papadimitriou C,Stavridis A. Accounting for amplitude of excitation in model updating through ahierarchical Bayesian approach: Application to a two-story reinforced concretebuilding. Mechanical Systems and SignalProcessing. 2019 May 15;123:68-83.

17.  Song M, Renson L, Noël JP, Moaveni B*, Kerschen G. Bayesian model updating ofnonlinear systems using nonlinear normal modes. Structural Control andHealth Monitoring. 2018 Dec;25(12):e2258.

18.  Song M, Yousefianmoghadam S, MohammadiME, Moaveni B*, Stavridis A, Wood RL. An application of finite element modelupdating for damage assessment of a two-story reinforced concrete building andcomparison with lidar. Structural HealthMonitoring. 2018 Sep;17(5):1129-50.