INSPIRE Archived Webinars

Multidimensional Digital Twin in the Built Environment to Support Multifunctional Modeling for Broader Impacts


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Webinar Date

04 December 2023, 10/;00 am


Digital twin (DT) has been developed for a single function in most of previous studies. This study aims to empower DT with a multilayered integration of multifunctional and multidisciplinary models in the built environment. It starts with the development of a framework of three hierarchical tiers of regional, asset, and system DT modules, defines a new concept of the degree of digital twinning (DODT) to a real world by the number of models enabled by a common DT platform, enables spatiotemporal analysis in multiple scales to couple nonstructural with structural building components and connect the built environment to planning constructions, enables an integrated computational and informational modeling, and demonstrates multiple values of the DT of a university campus in asset lifecycle management. A mechanical model is used to evaluate the structural and nonstructural behavior of buildings under earthquake loads, allowing damage/cost scenario studies for community resilience in the wake of an extreme event. A multitask machine learning model is used to detect the type and material of building roofs from videos, allowing infrastructure planning for existing buildings. An informational model allows master planning for green space development, environmental planning for flood zone susceptibility, security protocol development, and energy harvesting and utilization. The DODT allows the value-driven digital replication of a physical twin at different levels and thus the value proposition of structural health monitoring in broader architectural and engineering practices. The DODT of the campus is eight, indicating that the DT has broader impacts on campus' asset lifecycle management.


Dr. Chen received his Ph.D. degree from the State University of New York at Buffalo in 1992 and joined Missouri University of Science and Technology (Missouri S&T) in 1996 after over three years of bridge design, inspection, and construction practices with Steinman Consulting Engineers in New York City. Since 1996, Dr. Chen has authored or co-authored over 400 technical publications in structural health monitoring (SHM), structural control, structural and robotic dynamics, computational and experimental mechanics, life-cycle assessment and deterioration mitigation of infrastructure, multi-hazards assessment and mitigation, transportation infrastructure preservation and resiliency including 217 journal papers, 5 book chapters, and 28 keynote and invited presentations at international conferences. He chaired the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-9), St. Louis, Missouri, August 4-7, 2019. He has been granted with one patent on distributed coax cable strain/crack sensors and two patents on enamel coating of steel reinforcing bars for corrosion protection and steel-concrete bond strength. He received the 2019 international SHM Person of the Year award, the 1998 National Science Foundation CAREER Award, the 2004 Academy of Civil Engineers Faculty Achievement Award, and the 2009, 2011, and 2013 Missouri S&T Faculty Research Awards. In 2016, he was nominated and inducted into the Academy of Civil Engineers at Missouri S&T and became an honorary member of Chi Epsilon. He is a Fellow of American Society of Civil Engineers (ASCE), Structural Engineering Institute (SEI), and the International Society for Structural Health Monitoring of Intelligent Infrastructure (ISHMII). He is a Section Editor of the Intelligent Sensors, Associate Editor of the Journal of Civil Structural Health Monitoring, Associate Editor of Advances in Bridge Engineering, Editorial Board Member of Advances in Structural Engineering, and Vice President of the U.S. Panel on Structural Control and Monitoring.


Civil, Architectural and Environmental Engineering

Research Center/Lab(s)

INSPIRE - University Transportation Center

Document Type

Video - Presentation

Document Version

Final Version

File Type





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