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Journal ArticleDOI

Modeling and control of an electrorheological device for structural control applications

S F Masri, +2 more
- 01 Mar 1995 - 
- Vol. 4
TLDR
In this paper, an experimental and analytical study of a controllable electrorheological (ER) device configured to induce an adjustable amount of dynamic shear force in response to an applied voltage is presented.
Abstract
This paper presents some of the results of an experimental and analytical study of a controllable electrorheological (ER) device configured to induce an adjustable amount of dynamic shear force in response to an applied voltage. Maps of the force-deformation characteristics of the aluminosilicate based ER material are developed over a relatively wide frequency range, and approximating analytical expressions are obtained for the force-deformation-frequency-voltage characteristics of the material. Subsequently, an evaluation is made of the efficiency of using online control of an electrorheological actuator to emulate the operation of an optimally tuned auxiliary mass damper attached to a primary system subjected to arbitrary dynamic environments. It is shown through numerical simulation studies that the proposed parameter control algorithm provides an efficient means for the online control of the primary system under a wide range of excitations. An experimental study is presented in which an ER device is used, in conjunction with a small laboratory building model, as a semiactive element in an online structural control approach using pulse control techniques.

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Citations
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Journal ArticleDOI

Applications of electro-rheological fluids in vibration control: a survey

TL;DR: A comprehensive survey of electro-rheological (ER) fluids for vibration control can be found in this paper, where the key modes of operation are identified and progress towards a unified approach to visualizing the macroscopic behaviour is summarized.
Journal ArticleDOI

A nonlinear viscoelastic - plastic model for electrorheological fluids

TL;DR: In this article, a nonlinear dynamic model is presented that characterizes electrorheological material behavior in terms of its shear stress versus shear strain behavior, which is represented by a simple network consisting of two parallel linear mechanisms whose outputs are combined using nonlinear weighting functions.
Journal ArticleDOI

A new dynamic hysteresis model for magnetorheological dampers

TL;DR: In this paper, a new hysteresis model based on the Bouc-Wen model has been developed to better characterize the hystresis phenomenon of the MR damper.
Journal ArticleDOI

An innovative magnetorheological damper for automotive suspension: from design to experimental characterization

TL;DR: In this paper, a completely new magnetorheological fluid (MRF) damper model is proposed for semi-active control of automotive suspensions. But, unlike the conventional solutions where the coil axis is usually superposed on the damper axis and where the inner cylindrical housing is part of the magnetic circuit, the coils are wound in a direction perpendicular to the dampers axis.
Book

Smart Structures Theory

TL;DR: In this article, the authors focus on smart materials, structures and systems, which are also referred to as intelligent, adaptive, active, sensory and metamorphic, and the purpose of these materials from the perspective of smart systems is their ability to minimize life-cycle cost and/or expand the performance envelope.
References
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Journal ArticleDOI

Induced Fibration of Suspensions

TL;DR: In this article, the authors describe some of the phenomena found to have their origin in electrically induced fibration of small particles in fluid liquid suspension, including the induced shear resistances found in layers of the fluid when bounded by potentialized electrode surfaces.
Journal ArticleDOI

REVIEW ARTICLE: Electro-rheology

H. Block, +1 more
Journal ArticleDOI

Identification of Nonlinear Dynamic Systems Using Neural Networks

TL;DR: In this article, the authors explore the potential of using parallel distributed processing methodologies (artificial neural networks) to identify the internal forces of structure unknown non linear dynamic systems, and explore the use of neural networks to predict the internal dynamics of non-linear dynamic systems.
Journal ArticleDOI

The electrorheological properties of polyaniline suspensions

TL;DR: In this paper, the electrorheological properties of polyaniline particles in silicon oil are reported for a range of suspension volume fractions, applied field strengths, shear stresses, and particle dielectric constants.
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