Adaptive seismic isolation of structures using MR-fluid dampers

El-Sinawi, Ameen; Jhemi, Ali; AlHamaydeh, Mohammad

doi:10.1109/icmsao.2013.6552603

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…Elsinawi observes that a 20-story base isolation structure consists of a MR Damper of Nonlinear Boun-wen proposed linear Quadratic Gaussian regulator algorithm to know the behaviour. The comparison of controlled and uncontrolled displacement and acceleration of a structure for El Centro and Hachinohex earthquakes observed [54]. Jansen insists that, a six-story building analyzed for El Centro ground acceleration with various control algorithms Proves that MR Damper can be suitable for reducing seismic forces.…”

Section: Figure 22 Mr Dampers With Five-story Buildingmentioning

confidence: 99%

A Review on the Magnetorheological Fluid, Damper and Its Applications for Seismic Mitigation

et al. 2018

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Magnetorheological (MR) fluids and dampers have wide advances as smart materials because of its unique properties, notably, viscosity increases in the presence when magnetic field applied MR Fluids composed of three key components, including carrier fluid, surfactants and metal particles. The major applications of MR Fluids are in brakes, dampers, journal bearings, fluid clutches, pneumatic artificial muscles, aerospace etc. where electrical energy is converted to mechanical energy (Damping Force) in a controlled manner. Within a few milliseconds the fluid converts from liquid to semi solid state. Over the years, researchers were concerned on the ways to enhance the modelling precision. Though the proposed Dynamic models of MR Dampers represent displacement and force behaviour. In this review paper, the advances of MR Fluids, MR Damper, Damper Models, Energy harvesting and their applications for seismic resistance of structures are briefly discussed in the present study.

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Section: Figure 22 Mr Dampers With Five-story Buildingmentioning

confidence: 99%

A Review on the Magnetorheological Fluid, Damper and Its Applications for Seismic Mitigation

et al. 2018

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“…The modeling and control of Magneto-Rheoliogical (MR) dampers has also been investigated [9]. The studies used system identification techniques to approximate the dynamic behavior of the MR dampers [14], [15]. MR dampers are semi-active control dampers and hence are more effective than their passive counterparts [16].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Seismic Isolation Systems With Viscous Fluid Dampers Using Genetic Algorithms

Barakat¹,

AlHamaydeh²,

Nassif³

2015

Proceedings of the 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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This paper presents evolutionary-based optimization procedure for designing natural rubber seismic isolation systems with viscous fluid dampers. The proposed technique is applied to the design of seismic isolation systems with viscous fluid dampers. A lumped-mass stick model representing a realistic five-story MDOF system with natural period of vibration ranging between 2.5 to 4.5 seconds. A suite of 24 Near-Field (NF) earthquake records representing different seismic hazard levels are utilized in the analysis and design. The damping coefficient (C), damping exponent (α) and fundamental natural period (T) are used as design variables for t he seismic isolation system. The minimization of the key response parameter, the top story acceleration ratio (TSAR) of the isolated structure compared to an identical fixed base structure, is selected as the objective function in this optimization problem. The total maximum displacements (D TM), the peak damper force (P DF), as well as the maximum drift ratio (δ max) are presented as constraints in the optimization problem. In order to achieve global optimum performance [TSAR] while handling competing constraints [D TM , P DF , δ max ], the presented GA-based technique is utilized. The commercial structural analysis software SAP2000 is utilized to perform the dynamic analysis for the MDOF system through direct Time-History Analysis (THA). The optimization algorithm is programmed in MATLAB and linked to SAP2000 through its OAPI feature. In agreement with conventional wisdom and sound engineering experience, it is found that combining low values of (C), highly nonlinear (α) [low values] with highly flexible rubber isolators [long T] produces the optimum performance.

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