时间：2025年10月20日（周一） 上午9:00-10:30

地点：同济大学衷和楼 802 会议室

主讲人：Giuseppe Quaranta, Associate Professor, Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Rome - Italy

主持人：彭勇波 教授

报告简介： Automated and Intelligent Methods for Dynamic Identification of Structures under Free and Ambient Vibrations (自由振动与环境振动下结构动态识别的自动化与智能化方法)

Output-only dynamic identification methods have proven effective for the experimental characterization of existing civil structures and infrastructures. Their widespread adoption across diverse applications, including continuous monitoring, has recently prompted substantial efforts toward automating the underlying methodologies. Within this framework, the present talk introduces several procedures developed to achieve full automation of structural dynamic identification, thereby eliminating the need for external supervision in tuning their control parameters. For structures undergoing free vibrations, the proposed approach employs variational mode decomposition or empirical Fourier decomposition to isolate individual (potentially close) modal contributions, combined with an area ratio-based technique for robust damping estimation. Illustrative case studies include prestressed concrete girder bridge decks, cables of a cable-stayed bridge affected by relaxation losses, and a railway bridge. The talk will also address the case of structures subjected to ambient vibrations. In this regard, a new paradigm – intelligent automatic operational modal analysis – will be illustrated. This approach leverages the covariance-driven stochastic subspace identification algorithm for output-only estimation of modal parameters and a random forest model trained to predict the optimal combination of its control parameters for reliable modal estimates and related uncertainty quantification. Applications to the Hamra Firduos Tower (an iconic 412.6 m tall building in Kuwait) and the Hardanger Bridge (a 1,380 m long suspension bridge in Norway) will be presented to demonstrate the capabilities of the method.

欢迎各位老师和同学参会交流、研讨！

  主讲人：Giuseppe Quaranta

Giuseppe Quaranta is an Associate Professor of Structural Engineering in the Department of Structural and Geotechnical Engineering at Sapienza University of Rome, Italy. Since 2020, he has also held the National Habilitation for Full Professor in Structural Engineering. He earned his M.Sc. in Civil Engineering from the Technical University of Bari, Italy, in 2006, and his Ph.D. in Structural Engineering from Sapienza University of Rome in 2011. Prior to joining Sapienza University of Rome, he was a Postdoctoral Scholar at the University of California, Davis, USA.

Giuseppe Quaranta’s research focuses on structural monitoring and control – encompassing the design of sensing systems, development of dynamic identification and diagnostic techniques, and the application of passive vibration control devices – as well as on structural concrete, including reinforced concrete and composite steel-concrete structures. His research activities draw on a combination of experimental testing, analytical methods, and computational approaches, including advanced machine learning techniques. His current research is supported by two national projects (PRIN 2022 – “Artificial Intelligence for Sustainable Seismic Risk Reduction of Structures” and PRIN 2022 PNRR – “Artificial Intelligence for Environmental Impact Minimization of Seismic Retrofitting of Structures), and one European project (ERIES – “Ice quantification based on remote sensing”). Within his areas of research, Giuseppe Quaranta has authored or co-authored over 70 articles published in international peer-reviewed scientific journals.