IOTSC TALK SERIES: Hierarchical Bayesian Modeling Framework for Data-Driven Uncertainty Quantification and Propagation in Structural Dynamics
智慧城市物聯網系列講座:基於分層貝葉斯框架的結構動力學數據驅動不確定性度量與傳播分析
Dear Colleagues and Students,
The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our “IOTSC Talk Series” on 10/05/2023 (Wednesday).
We are pleased to invite Prof. Xinyu JIA from School of Mechanical Engineering, Hebei University of Technology as the speaker.
Hierarchical Bayesian Modeling Framework for Data-Driven Uncertainty Quantification and Propagation in Structural Dynamics
Speaker: Prof. Xinyu JIA, Assistant Professor, School of Mechanical Engineering, Hebei University of Technology
Date: 10/05/2023 (Wednesday)
Time: 16:00 – 17:00
Language: English
Venue: N21-5/F Exhibition Hall
Abstract:
This talk will discuss the latest advance on hierarchical Bayesian modeling framework (HBM) for performing uncertainty quantification and propagation in structural dynamics. It consists of two topics on the development of the HBM framework on single-level and multi-level dynamical structures. Simulated and experimental studies will show that the proposed HBM framework provides a better account for the parameter uncertainties, distinguishing between irreducible and reducible uncertainties, while the conventional Bayesian modeling framework often underestimates the uncertainties for the parameters and aggregates such uncertainties into model error. The proposed framework is applicable to various disciplines of engineering and science.
Speaker’s Bio:
Dr. Xinyu JIA is currently an Assistant Professor at the School of Mechanical Engineering, Hebei University of Technology (HEBUT), Tianjin. He obtained his PhD degree in University of Thessaly, Greece, funded by Marie Curie Fellowship, and subsequently worked at University of Macau as a postdoc researcher before joining HEBUT. His research interests are computational methods for uncertainty quantification, reliability analysis and structural health monitoring, with a strong focus on Bayesian inference for uncertainty quantification and propagation in structural dynamics.
For enquiries: Tel: 8822 9141
Email: shirleyfong@um.edu.mo
Best Regards,
State Key Laboratory of Internet of Things for Smart City