报告题目：Intelligent Infrastructure: Enabling Resilient Built Environment under Multiple Hazards

报告人：傅宇光  博士/副教授

时间：11月12日  14:00-16:00

线下集中收看地点：研究院1号楼北621会议室

线上参会腾讯会议号：117 727 739

内容介绍：

Many of the civil infrastructure damage scenarios involve hazardous events, e.g., earthquakes and bridge/vehicle impacts. Due to their unpredictable nature, many of these events go unnoticed or unreported; but their consequence can be catastrophic, resulting in damage/failure in a matter of seconds or hidden damage that accelerates structural degradation. Two efforts have been made to mitigate the impacts of hazards on civil infrastructure by advancing intelligent infrastructure technologies. The first one is smart IoT system for aging infrastructure on the Earth. It is aimed to not only send early warning of these events to facilitate appropriate emergency response, but also enable rapid damage assessment to make informed decisions. It consists of four modules: (i) cost-effective on-demand sensing prototypes, (ii) efficient local/remote data retrieval framework, (iii) end user applications adopted online damage/condition assessment strategies, and (iv) edge intelligence techniques to ensure high-quality and reliable data acquisition. The proposed system has been validated through both lab tests and full-scale applications. The second effort is a Modular Coupled Virtual Testbed (MCVT) for futuristic infrastructure off the Earth. It is aimed to support the development of SmartHab, which can autonomously sense, anticipate, respond to, and learn from disruptions in deep space. In the MCVT, the deep space habitat is modeled as a system of systems. Within the process, four key innovations are explored to provide the heterogeneous modeling and simulation needed to support the research: (i) three classes of models are developed to represent essential components of SmartHabs; (ii) a standard notation is established as a common language for subsystem developers; (iii) a design structure matrix is built to represent interdependencies of the various subsystems; and (iv) multi-rate simulation is realized to balance heterogeneous simulation requirements and constraints. Such a framework is a powerful tool that allows different methods to be explored/assessed and can be used by space community to plug and play models of various subsystems and perform system-level analyses related to resilience and health management.

报告人介绍：

Dr. Yuguang Fu is currently an Assistant Professor in the School of Civil and Environmental Engineering, Nanyang Technological University (NTU), Singapore. He received his B.Sc. and M.Sc. in civil engineering from Tongji University, China in 2012 and 2014, respectively. He earned his Ph.D. in civil engineering from the University of Illinois at Urbana-Champaign (UIUC) in 2019. Prior to joining NTU in 2021, he was a research scientist at Embedor Technologies to commercialize the sensor technology developed in the Ph.D. study, funded by NSF-SBIR. He then became a postdoctoral research associate in the Resilient Extra-Terrestrial Habitats Institute at Purdue University, funded by NASA. His research objective is to advance state-of-the-art smart sensing technologies and experimental techniques to make our built environment sustainable and resilient.