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Real-time Hybrid Simulation Method and Technique for Dynamic Damage Process Analysis of Large-scale Building and Bridge Structures
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Delay estimation and compensation in Real-time Hybrid Simulation with BRB specimen
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DOI:10.4231/D3J96094F
Experiment Type: Hybrid Simulation
Description: Real-Time Hybrid Simulation (RTHS) is a novel approach conceived to evaluate dynamic responses of structures with parts of a structure physically tested and the remainder parts numerically modelled. One challenge of the method is to ensure real-time interaction of parts –substructures- via loading control, involving delay estimation, delay compensation and transfer system control. In RTHS, delay estimation is often a precondition of compensation; nonetheless, system delay may vary during testing. Consequently, it is sometimes necessary to measure delay online. Along these lines, we proposed an estimator with Taylor series based on a simplified physical system model, i.e. a pure delay multiplied by a gain reflecting amplitude errors of physical system control. The least-squares algorithm is introduced as well in order to render the estimator more practical yet effective.
In order to physically verify this method, Real-time Hybrid Simulation with a BRB specimen were carried out at the Mechanical and Structural Testing Center of the Harbin Institute of Technology and presented here. The emulated structure is a single degree of freedom structure. The specimen is a Buckling-Restrained Brace (BRB), which behaves linearly and nonlinearly in two tests, respectively.
Dates: December 15, 2008 - January 07, 2009
Facility: Harbin Institute of Technology, Harbin, China
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Specimen Type: BRB specimen made of steel (view)
Material: Material for the BRB Specimen Material for the BRB Specimen (view)
Sensors: Sensor Information for MTS 2500kN Test System
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Tags (keywords):
  1. Real-time hybrid simulation
  2. delay estimation
  3. delay compensation
Cite this work:
Bin Wu, Zhen Wang (2014). "Delay estimation and compensation in Real-time Hybrid Simulation with BRB specimen", Network for Earthquake Engineering Simulation (distributor), Dataset, DOI:10.4231/D3J96094F