Real-time Hybrid Simulation:
Developments, Implementation and Applications

February 16, 2021 | 4:00 pm – 5:00 pm EST


Real-time hybrid simulation is an economical and practical testing method that enables the investigation of dynamic performance of load-rate dependent complex structures. As hybrid simulation combines computer simulation (analytical substructure) with physical testing (experimental substructure) during the simulation, where the feedback signals from these substructures are used in command generation on the fly, real-time implementation of the hybrid simulation proves to be challenging.

This presentation will highlight the needs and accompanying challenges in real- time hybrid simulation and discuss some developments in the field These include the computationally efficient real- time hybrid simulation algorithms, and adaptive controllers developed at the University of Toronto. Several application examples of real-time hybrid simulation including the investigation of the dynamic performance of structures equipped with passive and active supplemental damping/structural control devices will be presented.

About the Author

Dr. Oya Mercan is an Associate Professor and Edwin Edward Hart Professor of Civil and Mineral Engineering at the University of Toronto. She received her Ph.D. in Civil Engineering from Lehigh University in 2007. Dr. Mercan was an Assistant Professor at the University of Alberta until 2010, until she moved to her current position at the University of Toronto.

Dr. Mercan’s research interests are in developing and implementing real-time testing methods that couple computer simulation and physical testing, with applications to the dynamic behaviour of complex structures, vibration mitigation and structural control, modular steel structures and wind loading under climate change. In addition to her research, Dr. Mercan teaches several courses in mechanics, structural analysis and dynamics at the undergraduate and graduate levels. She is also the director of the newly established centre at the University of Toronto: Climate Science for Engineering (CSE).

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