Title: Sensing, Identification and Managementof Civil Infrastructure under Uncertainty

Time:2019.6.11  15:00PM

Adress:建工A515

Speaker: 李宾宾，浙江大学，ZJU-UIUC联合学院

Abstract: Civil infrastructures, e.g., building and bridges, are essential to modern life and central to the security and stability of the nation. In order to ensure their safety and serviceability, structural health monitoring (SHM) has gained a great interest in research during the past decades, because it has the potential to use in operation maintenance and emergency management, taking advantage of integrated sensor networks, field dataand engineering knowledge. The performance of SHM system highly relies on the interpretation of the measured data. Due to the distinguished features of civil infrastructures, e.g., uniqueness andcomplicatedness (both in constitution and operation), uncertainties areubiquitous in the measurements and may even overwhelm the true signal. Therefore, it is critically important to develop methods that are capable to deal with the associated uncertainties for a reliable decision-making. This talk summarizes the speaker’s recent research to resolve challenges of uncertainty quantification and management in SHM, especially the operational modal analysis using Bayesian approach.

Short Bio:Dr. Binbin Li is currently an assistant professor in the ZJU-UIUC Institute, Zhejiang University - International Campus. He obtained his Ph.D. (2016) in Civil Engineering from the University of California-Berkeley and his B.S. (2009) in Civil Engineering and M.S. (2012) in Structural Engineering both from Dalian University of Technology. His research focuses on developing innovative statistical methods to address safety, resilience and sustainability issues of the built civil infrastructures. His specific interests include operational modal analysis, Bayesian system identification, infrastructural network modeling and field test, for structure and infrastructure health management and resilience assessment.