Using a limited set of MR dampers for improving structural seismic response

Ribakov, Yuri; Agranovich, G.

doi:10.1002/stc.1711

Cited by 13 publications

(15 citation statements)

References 26 publications

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“…Therefore the expression (ii) in (A.3) is canceled out. At this point the negative definiteness of (A.3) is guaranteed because, as mentioned earlier, the expression labeled as (i) in that equation is negative definite by the assumption (5). This completes the proof of Lemma 1.…”

Section: Conclusion Remarkssupporting

confidence: 70%

“…In addition considering the fact that mat b θ 3 gives the estimation of the mass matrix, one concludes that Γ À1 2 Γ 1 plays the same role as the matrix M À 1 K from a physical point of view. 5 The adaptive law (20) estimates the upper bound of the ground acceleration, Â g . The presence of l a in the infinity norm ‖Γ 2 l a ‖ ∞ in this equation shows that the geometrical distribution of the external forces influences the magnitude of the estimated upper bound.…”

Section: Main Theoremmentioning

confidence: 99%

“…Next, add and subtract (∂V 0 /∂z)ū to the right hand side of (A.9). ū is chosen in accordance with the requirements of Lemma 2; hence, it satisfies (5). Consequently _ V in (A.9) can be written as below:…”

Section: Proof Of Lemmamentioning

confidence: 99%

“…Because of the advances in smart material technologies and invention of large scale actuators much interest has arisen in the past decade around the use of active control mechanisms for civil engineering structures. Among all designed devices for this purpose the applicability and notable benefits of active tendon actuators [1,2], magneto-rheological (MR) dampers [3][4][5] and shape memory alloy actuators [6][7][8] are proven experimentally.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive block backstepping control for civil structures with unknown parameters subjected to seismic excitation

Ghaderi

Amini

2016

Struct. Control Health Monit.

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This paper presents an active control scheme for structures with unknown parameters subjected to ground acceleration. It is assumed that the mass, stiffness and damping matrices are unknown to the designer, and no measurement of the ground acceleration is available. Instead, the displacement and velocity vectors are accessible for control purposes. Adaptive block backstepping is used to propose a control force vector which makes the response of the structure follow a predefined reference signal as closely as possible. The provided numerical examples in this paper show the admissible performance of the proposed closed-form solution for the control force. The benefits and drawbacks of this approach are discussed as well.

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Section: Conclusion Remarkssupporting

confidence: 70%

Section: Main Theoremmentioning

confidence: 99%

Section: Proof Of Lemmamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive block backstepping control for civil structures with unknown parameters subjected to seismic excitation

Ghaderi

Amini

2016

Struct. Control Health Monit.

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“…1 As one of the most promising semi-active control devices, the magnetorheological (MR) damper has received considerable interest. [2][3][4][5][6][7] It employs a type of smart material, that is, MR fluid to work reliably. The MR fluid has capability to change its viscosity from a viscous-fluid state to a semi-solid state instantaneously and reversibly by an applied magnetic field.…”

Section: Introductionmentioning

confidence: 99%

Optimal inverse magnetorheological damper modeling using shuffled frog-leaping algorithm–based adaptive neuro-fuzzy inference system approach

Lin

Chen

2016

Advances in Mechanical Engineering

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Magnetorheological dampers have become prominent semi-active control devices for vibration mitigation of structures which are subjected to severe loads. However, the damping force cannot be controlled directly due to the inherent nonlinear characteristics of the magnetorheological dampers. Therefore, for fully exploiting the capabilities of the magnetorheological dampers, one of the challenging aspects is to develop an accurate inverse model which can appropriately predict the input voltage to control the damping force. In this article, a hybrid modeling strategy combining shuffled frogleaping algorithm and adaptive-network-based fuzzy inference system is proposed to model the inverse dynamic characteristics of the magnetorheological dampers for improving the modeling accuracy. The shuffled frog-leaping algorithm is employed to optimize the premise parameters of the adaptive-network-based fuzzy inference system while the consequent parameters are tuned by a least square estimation method, here known as shuffled frog-leaping algorithm-based adaptive-network-based fuzzy inference system approach. To evaluate the effectiveness of the proposed approach, the inverse modeling results based on the shuffled frog-leaping algorithm-based adaptive-network-based fuzzy inference system approach are compared with those based on the adaptive-network-based fuzzy inference system and genetic algorithm-based adaptive-network-based fuzzy inference system approaches. Analysis of variance test is carried out to statistically compare the performance of the proposed methods and the results demonstrate that the shuffled frogleaping algorithm-based adaptive-network-based fuzzy inference system strategy outperforms the other two methods in terms of modeling (training) accuracy and checking accuracy.

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Experimental research on the seismic properties of shear wall reinforced with high‐strength bars and magnetorheological dampers

Zhao

Ruan

et al. 2021

Structural Contr & Hlth

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Summary Magnetorheological (MR) damper was a kind of smart instrument, and it was very suitable for the semi‐active control. In this research, a large‐scale MR damper working in the shear mode of the MR fluid was developed to enhance the mechanical properties of the shear wall. The influence of MR damper on the mechanical properties of the shear walls, such as stiffness, strength, ductility, and the energy dissipation capacity, had been researched. Firstly, both the model of MR damper and shear wall were established to optimize the properties of the MR damper and shear wall. Then, three different concrete shear walls were fabricated, which were reinforced by carbon fiber‐reinforced polymer (CFRP) bars (W‐1), CFRP bars and MR dampers (W‐2), and steel strands and MR dampers (W‐3), respectively. The mechanical properties of the specimens were experimentally researched and analyzed. The experimental results showed that the ductility, the ability to bear external loads, stiffness, and energy dissipation capacity of the shear walls could be enhanced by the MR damper simultaneously. Compared with W‐1, the ductility, the ability to bear external loads, ultimate deformation, and energy‐dissipation capacity of W‐2 increased by 4.1%, 26.8%, 83.9%, and 35.8%, respectively. The residual deformation of the three shear walls was almost the same. The results indicated that the MR damper could enhance the mechanical properties of the shear walls and had no influence on the self‐centering capacity of the shear walls at the same time.

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Using a limited set of MR dampers for improving structural seismic response

Cited by 13 publications

References 26 publications

Adaptive block backstepping control for civil structures with unknown parameters subjected to seismic excitation

Adaptive block backstepping control for civil structures with unknown parameters subjected to seismic excitation

Optimal inverse magnetorheological damper modeling using shuffled frog-leaping algorithm–based adaptive neuro-fuzzy inference system approach

Experimental research on the seismic properties of shear wall reinforced with high‐strength bars and magnetorheological dampers

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