An Intercontinental Hybrid Simulation Experiment for the Purposes of Seismic Assessment of a Three-Span R/C Bridge

Sextos, Anastasios; Taskari, Olympia

doi:10.1007/978-3-319-56136-3_5

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…As a demonstration example, the Multi‐site Soil‐Structure Interaction Test was conducted using UI‐SIMCOR to couple a physical specimen with the ZEUS‐NL finite element program . Finally, Sextos et al performed an intercontinental HS experiment to test a three‐span reinforced concrete bridge model, distributing the testbed across four sites, involving the Aristotle University of Thessaloniki (Greece), the University of Patras (Greece), the UIUC (USA), and the University of Toronto (Canada).…”

Section: Introductionmentioning

confidence: 99%

Experimental verification of an accessible geographically distributed real‐time hybrid simulation platform

Ozdagli

Wang

et al. 2019

Struct Control Health Monit

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Real-time hybrid simulation (RTHS) has become a recognized methodology for isolating and testing complex, rate-dependent structural components and devices to understand their behavior and to evaluate their ability to improve the performance of structures exposed to severe dynamic loading. Although RTHS is efficient in its utilization of equipment and space compared with conventional testing techniques, the laboratory resources may not always be available in a single testing facility to conduct large-scale experiments. Consequently, distributed systems, capable of connecting multiple RTHS setups located at several geographically distributed facilities through appropriate information exchange, become desirable. This study presents a distributed RTHS (dRTHS) platform that enables the integration of geographically distributed physical and numerical components across the Internet. The essential capabilities needed to establish such a dRTHS platform are discussed, including the communication architecture, network components, and connection reliability. One significant challenge for conducting successful dRTHS is sustaining real-time communication between test sites. To accommodate realistic network delays due to variations in the Internet service, a Smith predictorbased delay compensation algorithm that includes a network time delay estimator is developed. A series of numerical and experimental studies is conducted to verify the platform and to quantify the impact of uncertainties present in a typical distributed system. Through an evaluation of the results, it is demonstrated that dRTHS is feasible for coupling laboratory capabilities and is a viable alternative to traditional testing techniques.

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Section: Introductionmentioning

confidence: 99%

Experimental verification of an accessible geographically distributed real‐time hybrid simulation platform

Ozdagli

Wang

et al. 2019

Struct Control Health Monit

View full text Add to dashboard Cite

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Neuro-hybrid simulation of non-linear frames using Prandtl neural networks

Sharghi

Mohammadi

Farrokh

2022

Proceedings of the Institution of Civil Engineers - Structures

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In a hybrid simulation, a structure is divided into numerical and physical substructures in order to obtain more accurate responses in comparison to a full computational analysis. It is more computationally efficient to test complicated parts physically and model the remaining parts using a standard finite-element program. However, due to a lack of test facilities (for example due to specimen size, capacity of the hydraulic power pack, limitations of reaction frames and walls, and the number and capacity of actuators) and budget limitations, only a few substructures can be tested experimentally and the others have to be modelled numerically. Here, a new framework for hybrid simulation is introduced, which uses well-trained neural networks instead of physical substructures. This new framework is called a neuro-hybrid simulation (NHS). With the aim of overcoming the limitations of hybrid simulations (the need for numerous substructures, errors arising from the test setup, data acquisition, simultaneous interaction of experimental and numerical parts and so on), an initially trained Prandtl neural network is used to act as a virtual physical substructure. The proposed NHS was verified with some numerical examples, based on which the capability and accuracy of the framework was proven.

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An Intercontinental Hybrid Simulation Experiment for the Purposes of Seismic Assessment of a Three-Span R/C Bridge

Cited by 2 publications

References 7 publications

Experimental verification of an accessible geographically distributed real‐time hybrid simulation platform

Experimental verification of an accessible geographically distributed real‐time hybrid simulation platform

Neuro-hybrid simulation of non-linear frames using Prandtl neural networks

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