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Performance-Based Design and Real-Time Large-Scale Testing to Enable Implementation of Advanced Damping Systems
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MR Damper Characterization - Lehigh - Damper 1
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DOI:10.4231/D3DV1CN1D
Experiment Type: Large Scale
Description: MR Damper Characterization tests conducted in Lehigh aims to identify MR Damper No. 1 which will be used in Real-Time Hybrid Tests(RTHT).

The characterization process is based on five trials. These are(change this info):
1) Active Motion Control(AMC) Identification
2) Reaction against Constant Current/Random Displacement
3) Reaction against Random Current/Random Displacement
4) Response Time of MR Damper with Various Input
5) Reaction against Sine Wave with Active Motion Control(AMC)
6) Reaction against Sine Wave with DC Power Supply
7) Rise Time of MR Damper Force
8) Settling Time of MR Damper Force
9) Rise Time with Various Input Currents

The results have been used to generate an adequate model to explain the behavior of the MR Damper.

MR damper used in the characterization tests has the following properties:
The length of the stroke is 1.5m.
The available stroke length is ±279mm.
The electromagnetic coil consists of 368 turns of 18 AWG magnet wire with an annular gap of 1.0 mm between the piston head and the inside diameter of the damper cylinder.
The damper is filled with approximately 19 liters of MRF-132DG type MR fluid.
Damper is manufactured by Lord Corporation.
Dates: August 01, 2009 - December 14, 2009
Facility: Lehigh University, PA, United States
Equipment: View Details
Specimen Type: MR Damper 1
Material: Component 1 Component 1 (view)
Sensors: MR Damper 1 Sensor Plan
Drawings:
Data:
Trial ( ? ) Repetition ( ? ) Interactive ( ? ) UnprocessedConvertedCorrectedDerived
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Documentation:
Related Documents:
Analysis:
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Images:
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Tags (keywords):
  1. MR Damper
  2. Characterization
  3. Magneto-Rheological Fluid Damper
Cite this work:
Yunbyeong Chae, Zhaoshuo Jiang, James Ricles, Richard Christenson, Shirley Dyke (2013). "MR Damper Characterization - Lehigh - Damper 1", Network for Earthquake Engineering Simulation (distributor), Dataset, DOI:10.4231/D3DV1CN1D