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Computational Science, Engineering & Technology Series
ISSN 1759-3158 CSETS: 35
COMPUTATIONAL METHODS FOR ENGINEERING TECHNOLOGY Edited by: B.H.V. Topping and P. Iványi
Chapter 14
Recent Advances in Real Time and Hybrid Simulation for Earthquake Engineering Purposes A. Sextos, E. Bousias2 and O. Taskari1
1Aristotle University of Thessaloniki, Greece 2University of Patras, Greece A. Sextos, E. Bousias,, O. Taskari, "Recent Advances in
Real Time and Hybrid Simulation
for Earthquake Engineering Purposes", in B.H.V. Topping and P. Iványi, (Editor), "Computational Methods for Engineering Technology", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 14, pp 345-361, 2014. doi:10.4203/csets.35.14
Keywords: hybrid testing, distributed computing, earthquake engineering.
Summary
Full scale testing is a realistic way to evaluate the behaviour of structures under
earthquake loading, as well as to verify the effectiveness of the design or retrofit
methods for new or existing earthquake-resistant structures, respectively.
Notwithstanding the increasing capabilities of the structural engineering
laboratories, factors related to space limitation, equipment capacity, scaling issues,
and the high operational and maintenance cost of the facilities themselves, often set
limits to the problems that cannot be studied through physical experimentation. On
the other hand, the advanced analytical and numerical models that are currently
available, have their own limitations in capturing the actual complexity of structural
behaviour. This is even more pronounced in the case of strong material or
geometrical non-linearities, non-conventional loading or boundary conditions, or
significant soil-structure interaction phenomena. As a result, the analysis capabilities
are inevitably limited to solving a specific set of relatively narrow problems,
focusing either on the system or a single component level. Along these lines, the
scope of this paper is to review the recent advances in real time and geographically
distributed hybrid experimentation in the United States, Europe, and the rest of the
world. Limitations are critically discussed and emerging research needs are
presented, along with some new ideas on potential extrapolation of hybrid
simulation to other scientific disciplines.
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