Real-time hybrid simulation of semi-active control utilizing MR dampers

Real-time hybrid testing is a method utilized for assessing systems with nonlinear and challenging-to-model elements. This approach integrates numerical and physical components, allowing for swift and cost-effective refinement of system iterations. In this instance, a magnetorheological (MR) damper is used as the physical substructure due to its inherent nonlinear, hysteretic behavior, while a simple four-story structure serves as the numerical substructure. The effectiveness of the proposed real-time hybrid testing framework will be validated by comparing its results with both analytical and physical recreations of the experimental system. This comparison aims to confirm the framework's reliability and its potential as a testing method for systems with complex, nonlinear components.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1117/12.3051528
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
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article

Real-time hybrid simulation of semi-active control utilizing MR dampers

Richard Christenson, Jiong Tang, Nicholas Nguyen
Hydraulic and Pneumatic Systems
article

Real-time hybrid simulation of semi-active control utilizing MR dampers

Richard Christenson, Jiong Tang, Nicholas Nguyen
article en

Abstract

Real-time hybrid testing is a method utilized for assessing systems with nonlinear and challenging-to-model elements. This approach integrates numerical and physical components, allowing for swift and cost-effective refinement of system iterations. In this instance, a magnetorheological (MR) damper is used as the physical substructure due to its inherent nonlinear, hysteretic behavior, while a simple four-story structure serves as the numerical substructure. The effectiveness of the proposed real-time hybrid testing framework will be validated by comparing its results with both analytical and physical recreations of the experimental system. This comparison aims to confirm the framework's reliability and its potential as a testing method for systems with complex, nonlinear components.

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