With Prof. Hui Li and Dr.Shunlong Li's gracious invitation,Mr.Yongchao Yang(杨永超) from Rice University will visit Centre of Structural Monitoring and Control (SMC) at Harbin Institute of Technology and make a presentation on May 16, 2014. We sincerely welcome the interested faculties and students to join in.
Topic:Data-driven structural health monitoring by unsupervised machine learning and sparse representation
The lecture room: 402, School of Civil Engineeering
Civil infrastructure is subjected to ambient loads, natural hazards, and man-made extreme events, which can cause deterioration, damage, and even catastrophic failure of structures. Dense networks of sensors embedded in structures, which continuously record structural data, make possible real-time health monitoring and assessment of structures. Effectively and efficiently sensing and processing the massive sensor data, potentially from hundreds of channels, is required to identify (update) structural information and detect damage as early as possible to inform immediate decision-making. Different from traditional model based and parametric methods, this presentation will discuss the potential of a novel data-driven framework towards rapid and unsupervised system identification and damage detection of structures, as well as efficient data management in structural health monitoring. Laboratory experiments on bench-scale structures, and real-world structures examples, including a seismically excited building, a large-scale cable-stayed bridge, and a super high-rise TV tower, will be demonstrated.
Biography of Yongchao Yang
Yongchao Yang is a Ph.D. Candidate in the Department of Civil and Environmental Engineering at Rice University. He received his bachelor’s degree in Civil Engineering from Harbin Institute of Technology, China in 2010. His research focuses on novel data sensing and processing for system identification and damage detection of civil structures. His work results in more than ten journal publications in ASCE Journal of Structural Engineering, Earthquake Engineering and Structural Dynamics, Mechanical Systems and Signal Processing, etc.